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Amplitude is the leading AI analytics platform, helping over 5,200 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2's Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. About The Role & Team Amplitude is looking for a Partner Solutions Architect - AWS to design practical, technically sound solutions connecting Amplitude with the data platforms our customers and partners use. As part of our Strategic Partnerships team, you'll work with AWS and consulting partners, bringing hands-on architecture experience across AWS, Snowflake, and Databricks. A major part of your work will be authoring clear reference architectures and data flow diagrams that explain how solutions operate, their dependencies, and their limitations. You'll partner closely with Product, Engineering, Solutions Engineering, and Professional Services to validate designs and help partners implement them successfully. As a Partner Solutions Architect - AWS, you will: Own the creation and maintenance of implementation-ready reference architectures and professional data flow diagrams, documenting system components, integrations, data movement, security boundaries, and operational dependencies. Design and validate integrations connecting Amplitude with AWS, Snowflake, and Databricks, drawing on hands-on experience building with these platforms. Evaluate proposed solutions for technical feasibility, clearly explaining architectural tradeoffs, unsupported capabilities, failure points, and implementation constraints. Enable partner architects, engineers, and consultants through technical deep dives, architecture reviews, and implementation guidance grounded in validated solution patterns. Work with Product, Engineering, and customer-facing teams to resolve architectural questions, surface integration gaps, and turn proven implementations into repeatable partner offerings. You'll be a great addition to the team if you have: You've worked as a Partner Solutions Architect or Partner Engineer, helping technology or consulting partners design and deliver integrated solutions. You bring experience with product analytics, customer data platforms, experimentation, or behavioral data pipelines. You've developed reusable reference architectures, integration guides, or service methodologies adopted by other technical teams. You understand the AWS partner ecosystem and have worked with partner architects or technical teams on shared customer solutions. You can lead productive architecture reviews, challenge assumptions constructively, and help stakeholders make informed technical decisions. At a minimum, you need to have: You have 5+ years of experience in solutions architecture, data architecture, partner engineering, or a comparable hands-on technical role. We welcome experience from internal architecture teams as well as partner-facing organizations. You have deep experience personally authoring reference architectures and data flow diagrams, with clear documentation that technical teams can use to build and implement solutions. You have direct experience building integrations, data pipelines, or other substantive solutions with AWS, Snowflake, and Databricks, beyond using their interfaces or consuming reports. You can work hands-on with APIs, SDKs, SQL, and a programming language such as Python or JavaScript to validate designs and troubleshoot integrations. You can explain how a solution works, where it can fail, and why an approach may be unsuitable, grounding your recommendations in implementation experience and technical validation. Our values: At Amplitude, our values guide how we show up for one another and for our customers: Humility: We operate from a place of empathy and openness, seeking to understand many points of view. Ownership: We take the initiative to solve problems that drive our shared company success. Growth Mindset: We're tenacious in the face of challenges and seek feedback in order to grow ourselves and others. Customer Centricity: We put the customer at the center of everything we do and are deeply committed to their success. We care about the well-being of our team: We offer competitive pay and benefits packages that reflect our commitment to the health and well-being of our Ampliteers. Some of our benefit programs include: Excellent ​M​edical, ​D​ental and ​V​ision insurance coverages, with 100% employer-paid premiums for employee Medical, ​Dental,​ ​​​​​​​​Vision on select plans 401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually Flexible time off, ​p​aid holidays, and more Generous stipends to spend on what matters most to you, whether that's wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), new hire home office equipment, and much more Excellent Parental benefits including​:​ 12 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy sessions Employee Stock Purchase Program​ (ESPP) Other fun facts about Amplitude: Our customers love us! They've said we're the #1 product analytics solution for 23 quarters in a row on G2. We care a lot about product innovation. We've made significant investments in talent and infrastructure to build the most powerful AI analytics platform on the market. We invest in our people. We offer mentorship programs, management training, and wellness initiatives. We give back to our communities. We give every Ampliteer a charitable giving grant and paid volunteer time off. We were founded in 2012, went public via a direct listing in September 2021, and are now trading under the ticker $AMPL. We're a global and fast-growing team! We have employees around the world and offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo. Our mascot is Data Monster, who loves to chow down on numbers, charts, and graphs. Nom nom. By applying for this job, you acknowledge that Amplitude processes your personal data in accordance with the Amplitude Applicant Privacy Notice .

Amplitude is the leading AI analytics platform, helping over 5,200 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2's Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. About The Role & Team Amplitude is looking for an experienced Legal Operations Manager to build and scale the systems, processes, and technology that help our Legal team operate at its best. You will partner across Commercial, Product, Privacy, Corporate, Finance, IT, and other teams to simplify how legal work gets done, improve visibility into priorities and risk, and create a more seamless experience for internal stakeholders. This is a hands-on role for a thoughtful operator who is excited to use automation and AI-enabled technology responsibly to reduce manual work, improve knowledge access, and help the Legal team move faster without compromising quality, security, or judgment. You will own key legal operations initiatives, from contract workflows and reporting to legal technology strategy, change management, and scalable team processes. As a Legal Operations Manager, you will: Design, implement, and continuously improve scalable workflows across the Legal team, including commercial, product, privacy, corporate, and compliance-related work. Own and optimize the Legal team's technology ecosystem, including contract lifecycle management, e-signature, intake, knowledge management, and reporting tools. Identify practical opportunities to leverage automation and AI-enabled tools to streamline routine legal work, improve self-service, and strengthen data quality, while partnering with Legal and IT on appropriate governance and controls. Build dashboards and reporting that give Legal leadership visibility into workload, contract cycle times, key trends, business impact, and operational priorities. Lead cross-functional projects and change-management efforts, including new process rollouts, systems integrations, internal enablement, and stakeholder communications. Serve as a trusted point of contact for legal process and technology questions, helping employees navigate Legal's tools, resources, and ways of working. Develop and maintain scalable legal knowledge resources, templates, playbooks, and training programs that make it easier for the business to engage Legal effectively. You'll be a great addition to the team if you have: You are energized by finding better ways to work and can turn ambiguity into clear, practical processes. You bring a strong point of view on how automation and AI can improve legal operations, paired with sound judgment around accuracy, confidentiality, security, and human review. You can translate complex legal and operational needs into simple workflows, systems requirements, and actionable recommendations for a range of stakeholders. You are comfortable moving between strategic planning and hands-on execution, whether that means designing a roadmap, building a dashboard, or troubleshooting a workflow. You build strong cross-functional relationships and can influence adoption through clear communication, thoughtful change management, and a service-oriented mindset. At a minimum, you need to have: 4+ years of experience in legal operations, paralegal work, contract operations, or a related operational role supporting an in-house legal team. Experience managing and improving legal processes, including contract intake, contract lifecycle management, legal requests, knowledge management, or matter tracking. Proven experience using AI to improve workflows and increase efficiency for the legal team and its cross-functional parnters. Experience collecting, analyzing, and presenting operational data through dashboards, reports, or executive-ready insights. Strong project management, organizational, written communication, and stakeholder-management skills. A bachelor's degree or equivalent practical experience. Proficiency with tools such as Microsoft Office, Salesforce, Ironclad, DocuSign, Slack, Tableau, Snowflake and reporting or workflow automation platforms. If you are excited to help build a modern, AI-enabled Legal function that is operationally excellent, business-minded, and built to scale, we would love to hear from you. Our values: At Amplitude, our values guide how we show up for one another and for our customers: Humility: We operate from a place of empathy and openness, seeking to understand many points of view. Ownership: We take the initiative to solve problems that drive our shared company success. Growth Mindset: We're tenacious in the face of challenges and seek feedback in order to grow ourselves and others. Customer Centricity: We put the customer at the center of everything we do and are deeply committed to their success. We care about the well-being of our team: We offer competitive pay and benefits packages that reflect our commitment to the health and well-being of our Ampliteers. Some of our benefit programs include: Excellent ​M​edical, ​D​ental and ​V​ision insurance coverages, with 100% employer-paid premiums for employee Medical, ​Dental,​ ​​​​​​​​Vision on select plans 401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually Flexible time off, ​p​aid holidays, and more Generous stipends to spend on what matters most to you, whether that's wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), new hire home office equipment, and much more Excellent Parental benefits including​:​ 12 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy sessions Employee Stock Purchase Program​ (ESPP) Other fun facts about Amplitude: Our customers love us! They've said we're the #1 product analytics solution for 23 quarters in a row on G2. We care a lot about product innovation. We've made significant investments in talent and infrastructure to build the most powerful AI analytics platform on the market. We invest in our people. We offer mentorship programs, management training, and wellness initiatives. We give back to our communities. We give every Ampliteer a charitable giving grant and paid volunteer time off. We were founded in 2012, went public via a direct listing in September 2021, and are now trading under the ticker $AMPL. We're a global and fast-growing team! We have employees around the world and offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo. Our mascot is Data Monster, who loves to chow down on numbers, charts, and graphs. Nom nom. By applying for this job, you acknowledge that Amplitude processes your personal data in accordance with the Amplitude Applicant Privacy Notice .

About Outreach Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few. About the Team Our mission is to deliver a resilient, internet-scale microservice platform supporting high-velocity development, real-time analytics, and intelligent automation. The team architects and powers critical backend services at the core of our opportunity management and forecasting ecosystem. We collaborate closely with cross-functional leaders to drive innovation, enable data-driven decisions, and leverage cutting-edge AI/ML to ensure global customer impact. The Role We are seeking a Staff Software Engineer who thrives on tackling complex technical and architectural challenges at scale. You will bring deep expertise in scalable, distributed systems design, lead high-performing teams through ambiguity, and accelerate product innovation in data-driven and AI-rich environments. You will steer system evolution, guarantee performance under high loads, and mentor peers while shaping delivery and technical direction. Leading the architecture, design, and delivery of distributed cloud-native applications capable of high concurrency and demanding real-time data needs. Developing strategy and hands-on solutions for scalable data pipelines, streaming analytics, and integrating ML/AI workflows. Collaborating with data science, product, and engineering partners to ship intelligent, complex product features. Setting and promoting engineering standards for code quality, security, and operational excellence; nurturing automation and continuous improvement. Diagnosing and eliminating performance bottlenecks and proactively addressing reliability risks. Mentoring, reviewing code/architectures, and fostering a culture of rapid learning. Decomposing legacy systems into SOA/microservices, resolving tech debt, and evolving the architecture for scale. Taking end-to-end ownership of major initiatives from planning through impact. 7+ years of strong backend development experience. Demonstrated excellence designing and operating large-scale distributed systems with cloud service-oriented architecture. Proven leadership in fast-paced environments, setting standards, and inspiring technical teams to exceed delivery goals. Mastery in backend programming (Go required, Python/Java/Ruby a plus) and hands-on with distributed data platforms (Kafka, RabbitMQ, NoSQL). Exper

Hi, we're Oscar. We're hiring a Specialist, Workforce Management to join our Workforce Management Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Workforce Management Specialist operationalizes scheduling and management of staffing according to requirements. Act upon opportunities to maximize service level and staffing targets through real time and intraday monitoring as well as volume and staffing analyses with leadership. Builds business staffing schedules to forecast, work with and update shift management tooling, responsible for schedule design optimization and workflow process redesign when needed. You will report into the Workforce Management Program Manager. Work Location: This is a remote position, open to candidates who reside in: Arizona; Florida; Georgia; Texas. #LI-Remote Pay Transparency: The base pay for this role is: $23.29 - $30.56 an hour. You are also eligible for employee benefits, monthly vacation accrual at a rate of 15 days per year.   Responsibilities: Develop and drive schedule efficiency by aligning team members, forecast volumes, and arrival patterns to achieve service level commitments and efficiency targets. Build and adjust schedules in line with stakeholder requirements and employee considerations. Validate in a timely manner, achieving expected outcomes and ensuring accuracy. Identify in real-time and anticipate 'reasons for target or SLA drops, efficiency challenges, opportunities and trends. Monitor/adjust queues and same-day staffing to ensure service levels, efficiency, and staffing needs are met. Serve as the primary point of contact for the internal support teams on intraday requests. Proactively communicate recommendations that provide improvements and/or solutions that support the overall good of the business. Collaborate with internal stakeholders to flag issues, resolve problems, and design/change schedules; able to adjust communication to the audience. Compliance with all applicable laws and regulations. Other duties as assigned. Requirements: 2+ years of experience with MS Excel or Sheets (including mathematical formulas, pivot tables, conditional formatting, data validation, nested IF statements, etc.). 2+ years of experience in Workforce Management, planning/scheduling, or operational leadership. 1+ years of experience in a "customer-facing" role (even if the "customer" is internal). Bonus points: 1+ years of experience using WFM tools (NICE, InContact, Five9, Verint, etc.) 1+ years of experience in real-time workforce analysis This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency:  Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy .

Hi, we're Oscar. We're hiring a Senior Data Scientist, Pharmacy to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Pharmacy position supports our pharmacy benefit, developing data pipelines, models, and analytics that improve medication access, member experience, and plan affordability. Working with clinical, business, product, and engineering partners, you will lead projects in formulary optimization, utilization and population need trend analytics, and prior authorization automation. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $163,944 - $215,176.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: Design and develop clinical AI and ML applications, leading the experimental lifecycle, target development, and operationalization strategy. Apply rigorous data science practices to ensure performance is robustly measured, safety and observability are prioritized, and deployment decisions are grounded in clear clinical and operational success criteria. Apply advanced analytics to evaluate complex financial and health outcome questions, helping partners understand the potential effects of changes to clinical policies, benefit design, and member programs. Develop models and scenario analyses to quantify tradeoffs, test assumptions, and characterize uncertainty, translating findings into actionable recommendations. Validate analytical methods and results to ensure conclusions are robust and appropriate for the decisions they inform. Collaborate closely with data leaders and business teams to enhance overall data processes, and lead execution with your team. Understand their needs and requirements, provide data support, and work together to develop solutions that improve processes and outcomes. Partner with business and technical stakeholders to prioritize opportunities, define success metrics, and guide experiments through evaluation and implementation. Compliance with all applicable laws and regulations. Other duties as assigned. Requirements: A bachelor's degree or 6+ years of industry or educational experience in a technical field. 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 4+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis 4+ years of  experience with statistical modeling and data processing/ETL pipeline building 2+ years of experience working with and presenting to non-technical stakeholders Bonus points: Experience in healthcare, finance or insurance industries, particularly pharmacy benefits or clinical operations. Experience developing and deploying AI/ML applications involving unstructured documents, with rigorous evaluation and production monitoring. Experience using statistical modeling to evaluate utilization trends, program effectiveness, or financial and health outcome tradeoffs, quantifying uncertainty. A master's degree in a quantitative field plus 3 years of relevant experience, or a PhD in a quantitative field. This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency:  Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy .

Hi, we're Oscar. We're hiring an Associate to join our Payment Integrity team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: This role is responsible for supporting process improvement and issue resolution in the Oscar claim environment for both the Oscar Insurance business and +Oscar clients. The Associate, Payment Integrity role organizes, scopes, prepares, investigates and/or executes on solutions and process improvements within edits and ideation. This is accomplished by leveraging a deep understanding of Oscar's claim infrastructure, workflows, workflow tooling, platform logic, data models, etc., to work cross-functionally to understand and translate friction from stakeholders into actionable opportunities for improvement.  You will report into the Senior Manager, Payment Integrity. Work Location: This is a remote position, open to candidates who reside in: Atlanta, Georgia; Chicago, Illinois; Dallas, Texas; Louisville, Kentucky; Minneapolis, Minnesota; Philadelphia, Pennsylvania; Salt Lake City, Utah. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote Pay Transparency: The base pay for this role is: $82,717 - $108,566 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses. Responsibilities: Provide subject matter expertise and in-depth understanding of Payment Integrity internal claims processing edits, external vendor edits and Oscar reimbursement policies. Respond to internal and external inquiries and disputes regarding policies and edits. Document industry standard coding rules and provide recommendations on reimbursement policy language and scope. Ideate payment integrity opportunities based on a deep knowledge of industry standard coding rules. Translate into business requirements; submit to and collaborate with internal partners to effectuate change. Ingest information from internal and external partners regarding adverse claim outcomes; collaborate with partners to scope, size, prioritize items and deliver solutions. Use insights from partner submissions, data mining, process monitoring, etc., work with the team to proactively identify thematic areas of opportunity to solve problems. Perpetuate a culture of transparency and collaboration by keeping stakeholders well informed of progress, status changes, blockers, completion, etc.; field questions as appropriate.   Support Oscar run state objectives by providing speedy research, root cause analysis, training, etc. whenever issues are escalated and assigned by leadership.   Compliance with all applicable laws and regulations Other duties as assigned Requirements: A bachelor's degree or 4+ years of commensurate experience  4+ years of experience in claims processing, coding, auditing or health care operations 4+ years experience in medical coding within payment integrity  Medical coding certification through AAPC (CPC, COC) or AHIMA (CCS, RHIT, RHIA) Experience with reimbursement methodologies, provider contract concepts and common claims processing/resolution practices. 2+ years experience deriving business insights from datasets and solving problems  1+ years experience improving business workflows and processes 1+ years experience collaborating with internal and/or external stakeholders Bonus points: 2+ years experience in a technical role (QA analyst, PM, operations analyst, finance, consulting, industrial engineering) or a process improvement role (Six Sigma or similar) Process Improvement or Lean Six Sigma training Experience using SQL This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency:  Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy .

Hi, we're Oscar. We're hiring an Intern to join our Actuarial team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Intern, Actuarial will support one of Oscar's three actuarial practices: Pricing, ETF (Experience, Trends, & Forecasting), or Valuation. They will get an introduction to the healthcare industry from the perspective of an innovative, technology-driven health insurer, as well as gain valuable experience working with Oscar's actuaries and business partners to develop both the technical and communication skills required in the actuarial profession. All interns are required to report to Oscar's New York Headquarters for a minimum of three days per week. Candidates must be available 40 hours per week for a minimum of 10 weeks. You will report into the Senior Manager, Actuarial. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The hourly rate will be $33.04-$43.37. You are also eligible for employee benefits and monthly vacation accrual at a rate of 15 days per year. Responsibilities: Produce a predetermined project or projects to support one of Oscar's actuarial teams. Projects may include building automation tools, projection models, dashboards, or experience studies. Project details will be discussed as part of the interview process and assigned according to interest and skillset. Gain exposure to actuarial concepts, tools, and industry practices. Participate in actuarial and cross-functional meetings to build relationships and rapport with internal stakeholders. Assist with ad hoc analysis and communicate findings to both actuarial and non-actuarial audiences. Compliance with all applicable laws and regulations Other duties as assigned Requirements: 3+ years of college towards a degree in Actuarial Science, Mathematics, Statistics or related field; Bonus points: Excellent problem solving, communication, and collaboration skills. Proficiency in Excel/SQL/Python Active College Students Cumulative GPA of 3.0 or higher Credit for one or more actuarial exams College Graduates Degree in Actuarial Science, Mathematics, or Statistics 2 or more actuarial exams This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency:  Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy .

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls. You'll build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. This is a distributed systems problem with an unusually high correctness bar. The system has to be right to the cent, replay cleanly and explain any number as of any date, at that volume. You will shape its architecture. Its users include Claude agents, which read and write through the same APIs and controls as people. You'll work closely with SWEs in Billing, Compute and Infra on shared contracts and APIs, and with product owners, finance operations and internal audit to turn accounting and controls requirements into designs. You don't need a finance background. If you have built backend systems where correctness matters, we will teach you the domain. Responsibilities Design and build the front door into finance and its governed contracts: APIs for apps and agents, an event bus for systems that publish, adapters for vendor apps and reports, data-quality gates, and processing that posts every event exactly once, with replay and backfill Drive the build of the accounting ledger and engine: an append-only ledger with idempotent posting, a rules framework that turns business events into journal entries, translation into the ERP, and period locks Design and build the SDKs and frameworks that finance apps and agents build on Build controls into the platform as code: immutable audit trail, maker-checker, scoped access and segregation of duties Build and run the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow, and own their reliability: uptime, latency, throughput and correctness targets agreed with those teams Shape the platform's technical direction: architecture, engineering standards and design reviews Minimum qualifications Strong backend engineering in a statically typed language such as Go, Java or Rust, or Python at scale Experience designing and running high-volume, event-driven systems (publish/subscribe, streaming) with idempotent processing, replay and backfill Experience designing relational data models and writing SQL for complex, versioned data Experience designing APIs, SDKs and service-to-service integrations used by other teams Experience building systems with auditability, access control or compliance requirements Experience turning requirements from non-engineering partners into technical designs Strong written and verbal communication, including design docs Preferred qualifications 10+ years of experience Experience building developer platforms or paved paths Experience with streaming systems such as Pub/Sub or Kafka Experience building with LLMs and agents, including MCP Built a ledger, sub-ledger, billing or payments system Familiarity with accounting concepts: double-entry, journal entries Familiarity with internal controls and audit concepts: audit trails, segregation of duties, change management Exposure to ERP or financial systems, such as Workday Financials The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the RL teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Fable 5.1 and Claude Opus 5.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implementing our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to design silicon. Hardware design is difficult and unforgiving – exactly the sort of domain we want Claude to excel at. You'll leverage your chip design expertise and turn it into tasks and signals for models to learn from. Specifically, you will: Invent, design, and implement RL environments and evaluations for agentic RTL generation, design (including formal) verification, physical design optimization. Work on cross-cutting RL considerations such as EDA-tool latency optimization and proxy rewards. Conduct experiments and shape our roadmap. Deliver your work into research and production training runs. Collaborate with other researchers and engineers across and outside Anthropic. You may be a good fit if you: Have expertise in ASIC or FPGA design: RTL, design verification (UVM, formal methods, coverage-driven), physical design (synthesis, place-and-route, timing closure), PPA optimization, DFT, ECOs. Are fluent with industry EDA tools and processes. Have taped out chips and have experience going from spec to silicon. Know how to balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have: Experience with reinforcement learning, evaluations or environments. Built tooling or automation around chip design flows. Worked on ML accelerators or high-performance compute hardware. Familiarity with high-level synthesis or architecture simulators. The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. Join Lucid's Autonomous Driving and ADAS organization to help develop and integrate next-generation autonomy features into Lucid vehicles. Help turn advanced driving technology into safe, dependable vehicle behavior. You will own features from concept and requirements through integration and production readiness. Your primary focus will be supervised point to point driving (L2++) and development work that also contributes to L4 automated driving.   This is a hands-on individual-contributor role at the intersection of vehicle systems, autonomy software, safety, and validation. You will translate product goals into implementable specifications, investigate real-world behavior, and drive technical decisions across teams.    The Role: Own the systems definition and delivery of assigned driving features: use cases, operating conditions, operational design domain (ODD), behavioral requirements, limitations, and measurable acceptance criteria.   Decompose vehicle-level objectives into functional, performance, and safety requirements. Allocate performance budgets and maintain traceability from stakeholder needs through implementation and verification evidence.   Develop functional architectures, state machines, interface specifications, and clear hardware/software ownership boundaries. Evaluate trade-offs involving sensors, compute, latency, vehicle interfaces, and algorithm capability.   Specify activation, availability, mode transitions, driver interaction, fault response, and degraded behavior. Distinguish L2 driver-supervision responsibilities from L4 system responsibilities, including fallback and minimal-risk behavior where applicable.   Partner with perception, localization, prediction, planning, controls, embedded software, vehicle integration, and HMI teams to resolve dependencies and deliver coherent end-to-end behavior.   Define scenario-based verification and validation strategies across simulation, software-/hardware-in-the-loop, proving-ground, and on-road testing. Connect each requirement to a test method and objective pass/fail criteria.   Work with data and test teams to establish feature metrics, logging needs, scenario coverage, and dataset representativeness. Use fleet and test data to identify gaps and prioritize improvements.   Investigate failures and performance limitations using vehicle logs, software behavior, and targeted experiments. Drive root-cause resolution, regression coverage, and assessment of changes across releases.   Collaborate with functional safety and SOTIF engineers on hazard analysis, foreseeable misuse, triggering conditions, safety mechanisms, and supporting evidence; incorporate relevant standards and regulatory requirements.   Lead technical reviews within your feature scope, communicate risks and trade-offs, and coordinate with program teams, suppliers, and technology partners to support integration and evidence-based release decisions.     Qualifications: Bachelor's degree in electrical, mechanical, automotive, aerospace, or computer engineering, computer science, robotics, or a related discipline, or equivalent practical experience.   6+ years of relevant engineering experience, including hands-on systems ownership for ADAS, automated driving, or similarly complex safety-critical vehicle or robotics systems.   Experience taking a feature through requirements, architecture, integration, and verification, with clear examples of technical decisions and issues you personally resolved.   Working knowledge of the autonomy stack and its vehicle-level interactions, including sensor and compute limitations, perception/planning/control interfaces, timing, diagnostics, and degraded operation.   Ability to write testable requirements, define interfaces and acceptance criteria, manage traceability, and use scenario-based testing and quantitative analysis to assess system behavior.   Practical programming and data-analysis skills in Python or C++, and confidence interpreting logs, Vector tools (CANalyzer) navigating software, and debugging integrated systems.   Working knowledge of functional safety (ISO 26262) and safety of the intended functionality (ISO 21448/SOTIF), with the ability to collaborate effectively with safety specialists.   Strong technical communication and cross-functional problem-solving skills; comfortable owning a defined scope, documenting assumptions, and driving alignment without direct authority.     Preferred: Experience working on supervised point to point driving (L2++) OR L3/L4 autonomy    Experience with learned or end-to-end driving approaches and modular autonomy stacks, including how their limitations and trade-offs affect requirements, observability, and validation.   Hands-on vehicle integration, automotive networks such as CAN and Ethernet, and sensor/compute integration, synchronization, diagnostics, or redundancy.   Large-scale scenario mining, simulation evaluation, fleet-data analytics, SQL, or statistical methods for evaluating rare events and coverage.   Requirements and architecture tools such as Jama, DOORS, or SysML/MBSE, plus experience with supplier interfaces, release readiness, or applicable NCAP and UNECE requirements.       At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations. Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. As a Part-Time Brand Ambassador in a Lucid Studio, your primary focus will be creating exceptional first impressions and delivering a welcoming, elevated experience for every guest who visits Lucid. As one of the first points of contact for our brand, you'll help spark curiosity, build meaningful connections, and introduce customers to the future of electric mobility. If you're passionate about delivering outstanding customer experiences and enjoy representing an innovative luxury brand, you'll excel as a Lucid Brand Ambassador. The Opportunity   Brand Ambassadors are the first point of engagement for guests visiting a Lucid Studio. They play a critical role in delivering an elevated customer experience, creating brand connection, and supporting daily studio operations.   This is a   part-time role   that requires flexibility, including the ability to work evenings and weekends . Part Time Brand Ambassador can expect to work between 20-25 hours per week.     What You'll Do   Welcome guests, answer general inquiries, and schedule test drives   Capture high quality customer leads and interactions in CRM (Salesforce)   Conduct customer needs assessments (budget, preferences, timing)   Recommend suitable vehicles based on customer needs   Refer high potential leads to Sales Specialists   Ensure guests are directed to the appropriate next step in their journey   Build deep knowledge of the Lucid brand, vehicles, and services   Explain vehicle features, specifications, and pricing to stimulate consideration   Provide backend operational support (order paperwork, order/vehicle status clarity)   Support studio operations, including opening/closing checklists   Ensure test drive and showcase vehicles are clean, charged, and ready   Assist with facility needs (refreshments, maintenance requests)   Support day to day studio operations as needed   What You Bring   Exceptional interpersonal and communication skills   A passion for delivering outstanding customer experiences   Experience in a customer facing environment (retail, hospitality, food service, etc.)   Patience, professionalism, and adaptability in a dynamic retail setting   Interest in electric vehicles and enthusiasm for building the Lucid brand   Qualifications   Flexible availability including extended holiday mall hours, holidays and weekends   18 years old minimum   High School diploma/GED required    Prior experience with CRM tool such as Salesforce highly preferred    Authorized to work in the USA (visas sponsorship not available)   Physical requirements include the ability to twist, bend, squat, reach, and stand for extended periods of time with or without reasonable accommodation.    Where permitted by law, successful completion of a drug test and background check including, but not limited to, criminal records are a condition of employment for Lucid sales centers   Valid driver's license with no suspensions within the past year. Drivers under 21 must have maintained a Driver's License for a minimum of 3 years and successfully complete Lucid Training upon hire   Ability to obtain appropriate state DMV licensing, where applicable   Compensation Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Hourly rate: $25  giving you stable and predictable income from day one. At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.   INDSD Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. You will: Design and improve distributed input data pipelines for large-scale machine learning training workloads. Collaborate with researchers and machine learning engineers to resolve bottlenecks in data pipeline performance. Improve runtime goodput of training workloads by optimizing input data processing systems for scalability and reliability. Implement and maintain advanced machine learning infrastructure tools including ML Pathways, Grain, JAX, and TensorFlow. Evaluate and integrate modern technologies to enhance the performance and scalability of machine learning systems. Promote best practices for distributed systems architecture and contribute to technical leadership within the team. You have: Bachelor's degree in Computer Science, Mathematics, or a related field, and 5 years of progressive, post-baccalaureate experience in the job offered or in a Software Engineering-related occupation. Position requires:  5 years of experience in Machine learning frameworks and distributed data processing libraries, including TensorFlow, JAX, ML Pathways, Apache Beam, etc.; 5 years of experience in Python or C++ for machine learning libraries and distributed systems;  2 years of experience in Technical leadership in architecting ML infrastructure for large foundation models (LLMs);  2 years of experience in Productionizing, evaluating, serving large foundation models in multi-host distributed ML runtimes; and   2 years of experience in Optimizing computational efficiency (duty cycles, memory efficiency) of a distributed ML training or inference. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.  Salary Range $250,000 - $263,000 USD   Position reports to the Waymo office & may allow for a hybrid schedule per Waymo policy.   #LI-DNI