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Job Description ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED We are seeking an experienced Lead AI / NLP Engineer specializing in agentic AI frameworks and automated knowledge extraction to join our team supporting critical defense and intelligence customer missions. In this role, you will train and deploy advanced Natural Language Processing (NLP) and Named Entity Recognition (NER) models for Large Language Model (LLM) solutions using LangGraph. You will lead both supervised and unsupervised model training and validation workflows to perform dynamic knowledge extraction across multilingual, unstructured data streams without a predefined ontology. Additionally, you will work closely with customer data sources, implement robust data quality techniques, and navigate enterprise compliance and policy requirements to ensure end-user readiness and accessibility. The annual base salary range for this role is $156,000-$184,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. , Required Skills Agentic AI & LangGraph: Hands-on proficiency developing, orchestrating, and training NLP/NER capabilities for LLM solutions within agentic AI frameworks (specifically LangGraph). NLP & Knowledge Extraction: Strong experience in both supervised and unsupervised model training, fine-tuning, and validation for automated knowledge extraction from unstructured, multi-language natural language data without relying on a predefined ontology. Data Retrieval & Preprocessing: Deep understanding of customer data sources, retrieval techniques, and data preprocessing pipelines required to generate high-quality training and evaluation datasets. Data Quality & Pipeline Readiness: Mastery of techniques to validate, clean, and enrich training data to ensure high data quality and seamless system integration. Enterprise Compliance & Governance: Strong understanding of enterprise data compliance, security policies, and governance protocols to ensure AI solutions meet regulatory standards and end-user access controls. Education: Bachelor's Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS 10+ years of professional experience in data science, NLP, or software engineering OR Associate's Degree PLUS 12+ years of specialized technical experience in lieu of a degree. , Desired Skills Multilingual NLP: Experience with cross-lingual embeddings, multilingual transformer architectures, and low-resource language processing. Vector Databases & RAG: Familiarity with Retrieval-Augmented Generation (RAG) architectures, vector stores (e.g., Qdrant, ChromaDB, PGVector, Pinecone), and semantic search indexing. Modern AI Tech Stack: Proficiency in Python and modern ML/DL libraries (PyTorch, Hugging Face Transformers, SpaCy, LangChain). MLOps & Deployment: Experience deploying containerized AI microservices (Docker, Kubernetes) and setting up MLOps pipelines for continuous model monitoring and evaluation. , About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla's team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you're at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There's even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That's up to 240 hours of leave plus 11 holidays! That's not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla's health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.

Company Overview: A global private investment firm with over $120 billion in assets under management is seeking an Applied AI Engineer to join their AI Innovation Lab. This role involves prototyping and integrating AI-powered solutions to drive business value. Job Responsibilities: Build AI-powered prototypes and pilots, including chat/agent experiences, workflow automation, and intelligent copilots for internal teams. Integrate LLMs and other AI services with enterprise systems such as APIs, data warehouses, and productivity tools. Stand up vector retrieval/embedding pipelines and lightweight orchestration layers for pilots. Own prompt engineering and system prompt design for pilot use cases. Run small-scale evaluations and instrument prototypes to capture feedback and usage data. Work with the Data MVP/Platform team to transition successful pilots to governed solutions. Implement privacy, security, and compliance controls as defined by the Lab and CTO. Document pilot architecture, data flows, and limitations, and partner with AI Enablement Specialists to teach business users. Qualifications: 4+ years of experience in software engineering, ML engineering, or applied data science. Experience building with large language models or similar advanced AI systems. Strong Python and/or TypeScript/JavaScript skills. Familiarity with data platforms and modern data stacks, such as Snowflake. Comfort working in ambiguous problem spaces and understanding AI governance and security. Bachelor's degree in computer science, data science, or related field. Compensation: Salary: $175,000 – $250,000, Plus Bonus The post Applied AI Engineer appeared first on Landing Point.

Overview Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship. The AI Engineering team within the Enterprise Data and Information Management (EDIM) group develops and deploys advanced AI productivity solutions for Navy Federal Credit Union. This role focuses on designing and implementing scalable, secure, and efficient AI systems using state-of-the-art Large Language Models (LLMs) and modern cloud frameworks. The engineer collaborates with Enterprise Technology Services (ETS) and business units to deliver modular, reusable AI components that address complex business challenges. Strong problem-solving, communication, analytical, and leadership skills are essential for success in this position. Responsibilities As a member of the AI Center for Enablement (C4E), contribute to platform, engineering, and operations to drive the adoption and utilization of AI capabilities, fostering technological innovation and improving member experience through AI capabilities. Implement AI engineering solutions while adhering to established governance, validation, safety, and transparency guidelines. Develop AI capabilities using LLM models and evaluate outcomes to ensure accuracy, reduce hallucinations, and assure compliance. Build and manage data pipelines for structured and unstructured data ingestion. Implement Retrieval-Augmented Generation (RAG) and other techniques to improve model accuracy and reduce hallucinations. Ensure compliance with AI governance, security, and ethical standards. Optimize application performance and scalability using cloud-native solutions. Participate in Agile development cycles and CI/CD processes for rapid deployment. Follow established AI standards and assist with model documentation and registration activities in the Model Catalog, in accordance with security and regulatory guidelines. Contribute to documentation and implementation of approved AI/ML roadmaps and technical plans. Support developer productivity initiatives by leveraging AI-assisted coding tools and contribute to AI-driven solutions. Deliver core engineering skills related to LLMs, prompt engineering, and applications delivery. Collaborate with senior team members to support initiatives that advance NFCU's AI Center for Enablement capabilities. Qualifications Bachelor's degree in AI Engineering, Computer Science, Data Science, Machine Learning, Data Engineering, or related technical field, or the equivalent combination of education, training and experience. 2-5 years of hands-on experience in building AI solutions, including AI agents and chatbots, using industry-leading platforms (e.g., Azure AI Foundry, Langchain) or similar. Experience with using Retrieval-Augmented Generation (RAG) for grounding models in factual data and reducing hallucinations. Experience with API development and integration building RESTful APIs for connecting AI models to applications. Experience with LLMs (Large Language Models), prompt engineering, and fine-tuning. Experience with Natural Language Processing (NLP) using tokenization, embeddings, and conversational AI techniques. Experience with front-end and back-end development using frameworks like React, Angular, and Node.js, Django, or Flask respectively for creating user interfaces and services. Experience in building data pipelines and data preprocessing for structured and unstructured data sets using platforms such as Databricks or similar. Experience in using Vector Databases & Graph Databases for semantic search and recommendation systems. Enable Model Governance implementing transparency, bias detection, and compliance measures. Implement security controls ensuring safe deployment of AI models and protect sensitive data. Strong understanding of CI/CD, Git, and Agile methodologies. Experience using AI-assisted coding tools (e.g. GitHub Copilot) as part of development workflows. Strong documentation, communication and presentation skills to explain designs and solutions to business and technical stakeholders. Demonstrated understanding of software engineering fundamentals, including data structures, debugging, unit testing, and writing maintainable, well-documented code. Familiarity with dependency management, logging, error handling, differences between development, test, and production environments. Experience evaluating AI and GenAI outputs, applying secure data-handling practices when working with sensitive information. Experience delivering solutions using Python, SQL and NoSQL capabilities. Ability to work from defined technical requirements and implementation plans, incorporate feedback from code reviews, and communicate progress and tradeoffs clearly within cross functional teams. Desired Qualifications Master's in AI Engineering, Computer Science, Data Science or related technical field. 7+ years of experience in AI engineering or similar. Data engineering background. Experience with front and backend development frameworks. Knowledge of Navy Federal Credit Union instructions, standards, and procedures. Hours Additional Information Monday - Friday, 8:00AM - 4:30PM Location: 820 Follin Lane, Vienna, VA 22180 About Us Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion. FORTUNE 100 Best Companies to Work For® 2026 Yello and WayUp Top 100 Internship Programs 2025 Computerworld® Best Places to Work in IT 2026 Most Loved Workplace – America's Top Most Loved Workplaces® 2025 2025 PEOPLE® Companies That Care Newsweek Most Trustworthy Companies in America 2026 Military Times 2025 Best for Vets Employers Forbes® 2026 America's Best Large Employers Forbes® 2025 America's Best Employers for New Grads Forbes® 2025 America's Best Employers for Tech Workers 2025 RippleMatch Campus Forward Award Winner for Overall Excellence Military.com Top Military Spouse Employers 2025 2026 Handshake Early Talent Award Newsweek America's Greatest Workplaces for Culture, Belonging and Community 2026 From Fortune Magazine. © 2026 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune 100 Best Companies to Work For are registered trademarks of Fortune Media IP Limited and are used under license. Fortune Magazine, Fortune Media (USA) Corporation, and its affiliates are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union. Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law. Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status. Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site. Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process. Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special! Position Overview AI/ML Engineer to join team at USPTO. In this role, you will assist in developing and evaluating machine learning models, preparing datasets, implementing AI solutions, and supporting the integration of intelligent systems into applications. You will work closely with other AI/ML engineers and other professionals to solve business problems using modern artificial intelligence and machine learning techniques. Qualifications There are 2 openings for the position; this opening is for the Junior position. The selected candidate's qualifications, relevant experience, and demonstrated capability. Typical leveling for this role is as follows: Junior (0 to 4 years) Mid-Level (5 to 9 years) Senior (10+ years) Core Responsibilities Collaboration: Work with clients, key stakeholders, as well as cross-functional teams. Technical Performance: Junior skills: Feature engineering and model optimization (assisting) Analyzing model performance with standard metrics Working with Python, ML libraries, AI APIs Basic NLP, computer vision, or generative AI tasks Prompt engineering and RAG integration SQL and data preparation Basic Git / version control Using AI-enabled dev tools (Claude Code, Copilot) Minimum Requirements Education: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, Engineering, or a related technical field. Experience: Junior (0 to 4 years) Mid-Level (5 to 9 years) Senior (10 to 14 years) Technical Proficiency: Experience with Python, Javascript, Java Experience with AI coding harnesses or related methods for agentic software development Experience with LLM engineering such as prompt design, retrieval-augmented generation (RAG), or agentic frameworks Experience with MLOps concepts, including CI/CD pipelines, version control, and model lifecycle management. Experience collaborating in Agile development environments and using modern DevOps tools (e.g., Azure DevOps, GitHub). Experience with Amazon Bedrock or similar generative AI platforms Experience working with large language models and prompt engineering Experience with model evaluation and performance optimization Experience developing and integrating APIs Experience using AI-enabled development tools such as Claude Code, GitHub Copilot, or similar technologies Compliance: Obtain Public Trust Preferred Expertise Experience with document-heavy or structured-data AI applications Experience with federal government IT systems or federal contracting Experience with semantic search or knowledge graph systems Familiarity with accessibility and compliance requirements (Section 508) Experience with Azure or AWS cloud platforms (beyond just Bedrock) Contributions to open-source ML projects Publications or presentations in AI/ML Privacy Policy – Halvik Corp Halvik Offers a Competitive Full Benefits Package Including Company-supported medical, dental, vision, life, STD, and LTD insurance Benefits include 11 federal holidays and PTO Eligible employees may receive performance-based incentives in recognition of individual and/or team achievements. 401(k) with company matching Flexible Spending Accounts for commuter, medical, and dependent care expenses Tuition Assistance Charitable Contribution matching Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One. Job Description We are seeking a Principal AI Engineer to help accelerate the adoption of AI across the enterprise. This senior individual contributor will combine hands-on engineering with technical leadership to identify high-value AI opportunities and build secure, scalable, production-ready solutions. The role will work across business and technology teams to develop AI capabilities, reusable frameworks, and intelligent automation solutions while helping teams expand their AI engineering expertise. Key Responsibilities Design, build, and deliver enterprise AI and Generative AI solutions from concept through production. Develop scalable AI solutions using Python, APIs, pipelines, and cloud AI services. Build solutions for complex structured and unstructured information, including document intelligence, data extraction, and workflow automation. Apply LLMs, Agentic AI, RAG, and prompt engineering to appropriate business use cases. Build reusable AI frameworks, accelerators, components, and integration patterns that improve solution delivery. Partner with engineering, product, architecture, security, and business teams to evaluate where AI is the right solution and design practical approaches that fit the enterprise environment. Establish strong engineering practices across testing, security, software quality, scalability, and deployment. Provide technical leadership, mentor engineering teams, and help expand AI capabilities across the organization. Basic Qualifications Bachelor's degree, or equivalent work experience Eight or more years of relevant experience Preferred Skills/Experience Experience designing and delivering enterprise AI, Generative AI, or intelligent automation solutions. Strong hands-on experience with Python, APIs, pipelines, and modern software engineering practices. Demonstrated experience solving problems involving complex unstructured documents or data, including extraction methods, accuracy improvement, and solutions operating at scale. Experience with LLMs, Agentic AI, RAG, prompt engineering, and AI orchestration frameworks. Experience with AI/ML platforms, MLOps, model lifecycle management, or AI governance. Experience building reusable AI frameworks, accelerators, developer tools, or enterprise integrations. Experience with cloud AI services, preferably Azure AI and/or Azure OpenAI. Strong understanding of secure, scalable, production-quality software engineering. Ability to provide technical leadership, consult across organizations, influence senior stakeholders, and communicate complex AI concepts to technical and non-technical audiences. Experience in financial services or another highly regulated industry is preferred. Location Expectation This role requires working from a U.S. Bank location three (3) or more days per week. If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following: Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (from two to five weeks depending on salary grade and tenure) Up to 11 paid holiday opportunities Adoption assistance Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law Review our full benefits available by employment status here. U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $149,515.00 - $175,900.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work you'll do As an AI and Data Science Engineer III on the team, you will be responsible for: Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability A successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to provide clear guidance to others The team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets. Qualifications Required: Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field 2+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions 2+ years of experience programming in Python, PySpark, PyTorch, and TensorFlow 1+ years of technology consulting experience in the Federal Health space Active certification in Python, PySpark, PyTorch, or TensorFlow Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve. Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred: Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field Ability to obtain and maintain a US government security clearance 2+ years of experience deploying machine learning models into production environments 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 102,500 to $170,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. ai&e fy27 profile

Responsibilities The E-commerce Recommendation Foundation team is dedicated to building the next-generation recommendation intelligence. We aim to develop a unified Foundation Model that supports multi-business and multi-scenario recommendation systems, covering the full pipeline from retrieval and ranking to re-ranking, and driving a comprehensive upgrade in intelligence and generative capability. We believe the future of recommendation systems goes beyond predicting click-through rates — it lies in understanding the relationship between people and content, and in generating new connections. The team is exploring an event-sequence-driven generative recommendation paradigm, deeply integrating large language models (LLMs), multimodal understanding, reinforcement learning, and system optimization to advance recommendation systems toward general-purpose intelligent agents. We value original exploration and encourage both research thinking and engineering excellence. Every team member is empowered to propose hypotheses and validate ideas in an open environment — your code and papers may help define the next paradigm of recommendation systems. We seek individuals with a general intelligence mindset to join us in redefining the future of recommendation. Responsibilities: Build and optimize cross-scenario shared Foundation Models to enable unified modeling and efficient inference. Advance the event-sequence-driven generative recommendation paradigm, integrating multimodal understanding and generative capabilities. Apply LLM technologies across retrieval, ranking, and re-ranking stages; participate in model training, inference optimization, and system co-design. Explore the integration of LLMs / VLMs with recommendation systems to develop adaptive and evolving intelligent recommenders. Research end-to-end generative recommendation and system optimization methods that balance efficiency and user experience. Qualifications Minimum Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. 1+ years of experience in machine learning, deep learning, or information retrieval. Proficiency in Python and familiarity with mainstream deep learning frameworks (e.g., PyTorch). Strong passion for intelligent recommendation systems and a self-driven research mindset. Preferred Qualifications PhD degree in Computer Science, Machine Learning, or a related field. Experience in large-scale recommendation system development or large-model training, with notable technical achievements in a sub-area. Research experience or publications in LLMs, multimodal learning, reinforcement learning, or generative recommendation. Familiarity with pre-training and post-training processes for large language models (LLMs) or Foundation Models. About USDS TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.​ ​ On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.​ Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​ We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​ ​ Diversity & Inclusion​ TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​ USDS Reasonable Accommodation USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA​ Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $129960 - $246240 annually.​ Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.​ Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).​ The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​ For Los Angeles County (unincorporated) Candidates:​ Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:​ Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;​ Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and​ Exercising sound judgment.​

Job Description: Employer: IHC Health Services, Inc. (dba Intermountain Health) Job Title: Artificial Intelligence (AI) & Machine Learning (ML) Engineer Degree Required: Master's degree or equivalent foreign education Academic Discipline(s): Computer Science, Data Science, Mechanical Engineering, Mathematics, or Statistics Experience Required: 1 year of experience in applied data science modeling or analytics Job Description: Designs, develops, and tests AI and Machine Learning systems and solutions across a variety of business problems. Apply machine learning algorithms, deep learning, pretrained transformers, and statistical reasoning to create and optimize models. Use AI/ML programming languages and tools to develop machine learning pipelines and systems. Leverage cloud platforms and distributed computing to optimize machine learning models. Work closely with Machine Learning Operations Engineers to deploy AI and ML systems using software engineering best practices. Position may telecommute from any state in the United States except California, Connecticut, Hawaii, Illinois, New York, Rhode Island, Vermont, and Washington. Minimum Qualifications: Knowledge of applying machine learning algorithms, deep learning models, and transformer architectures to various data sets and problems. Knowledge of Python and SQL. Knowledge of statistical reasoning and probabilistic outcomes Knowledge of object-oriented programming design and systems Knowledge of version control processes and systems Knowledge of database structures and analytics engineering Knowledge of data analytics and business analytics Knowledge of cloud computing platforms and distributed computing best practices. Knowledge of Linux and bash scripting. Knowledge of Natural Language Processing (NLP) Knowledge of Artificially Intelligence Agents and decision-making architecture Knowledge of all aspects of the data science life cycle including problem identification, data collection, data preparation, information/feature extraction, analytics method development, algorithm and model development, solution deployment and maintenance, customer consulting and communicating with non-technical business stakeholders. Upon hire, all applicants will be subject to drug testing/screening and background checks. Salary (Annual): $98,000.00 - $118,000.00 Work Location: 36 S State St, Suite 2200, Salt Lake City, UT 84111. Position may telecommute from any state in the United States except California, Connecticut, Hawaii, Illinois, New York, Rhode Island, Vermont, and Washington. Hours of Work: Usually 8 a.m. to 5 p.m., Monday through Friday Applicants interested in applying for this position should go to https://imh.wd108.myworkdayjobs.com/IntermountainCareers and search for the job title above or search for job number R187019 or email resume to Mary Hansen at mary.hansen@imail.org. Applicants who fail to provide a resume and pre-screening question responses will not be considered. This position is for permanent direct hire only; applications for contract labor will not be considered. Location: Key Bank Tower Work City: Salt Lake City Work State: Utah Scheduled Weekly Hours: 40 The hourly range for this position is listed below. Actual hourly rate dependent upon experience. We care about your well-being – mind, body, and spirit – which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged. Learn More About Our Comprehensive Benefits Package here. By applying for a position with Intermountain, I acknowledge that I will comply with all applicable Intermountain policies and expectations. If applying for a remote or hybrid role, this includes remote work expectations related to confidentiality, information security, work schedules, conflicts of interest, and use of company equipment. I further acknowledge that outside employment or activities may not interfere with job responsibilities or create a conflict of interest with Intermountain. Actual or reasonably perceived conflicts may be grounds for disqualification from consideration or, if hired, corrective action up to and including termination of employment. Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process. All positions subject to close without notice.

ABS Group is seeking an AI/ML Engineer to join our Artificial Intelligence Practice in support of a major federal modernization program. In this role, you will design, develop, and operationalize machine learning and artificial intelligence solutions that support mission applications and data-driven workflows. You will help bring AI capabilities into production, build supporting pipelines and model operations workflows, and work across data science, engineering, and cloud teams to deliver scalable, secure, and trustworthy AI solutions. The scope of responsibility, degree of technical leadership, and level of independence expected will reflect the level at which this position is filled. What You Will Do Design, develop, and operate AI and machine learning capabilities for production applications and data workflows Build and maintain data and model pipelines that support training, deployment, monitoring, and lifecycle management Partner with data scientists, developers, and cloud engineers to productionize AI solutions Implement MLOps and related engineering practices for model deployment, monitoring, retraining, and version control Support generative AI and large language model implementations, including prompt workflows, retrieval-augmented generation, and vector-based retrieval patterns Apply AI/ML to adjacent use cases such as test automation, workflow support, and operational optimization Contribute to CI/CD, observability, and operational support for AI systems in secure environments Support responsible AI and model governance practices, including explainability and compliance requirements Document architectures, workflows, and engineering standards for project delivery What You Will Need Level and Compensation: This position may be filled at multiple career levels based on business need and the selected candidate's qualifications, relevant experience, and demonstrated capability. Typical leveling for this role is as follows: Junior (0 to 4 years) Mid-Level (5 to 9 years) Senior (10 to 14 years) Principal (15 or more years) These ranges are guidelines only and are not the sole determining factor in level. The posted compensation range reflects the full range across all possible levels. Individual offers will be based on the level at which the candidate is hired, as well as factors such as skills, experience, internal equity, and geographic market considerations where applicable. Education and Experience Bachelor's degree in Computer Science, Data Science, Software Engineering, Engineering, or a related technical field; Master's degree preferred Relevant professional experience in AI engineering, machine learning engineering, or related software engineering roles; the depth and scope of experience required will vary based on the level at which this position is filled Experience deploying or supporting machine learning and AI systems in production environments preferred Experience working in cloud-based or hybrid technical environments preferred Knowledge, Skills, and Abilities Proficiency in Python Familiarity with frameworks such as TensorFlow, PyTorch, and scikit-learn Familiarity with MLOps, CI/CD for ML, and model monitoring concepts and practices Exposure to LLMOps, AIOps, RAG, and vector databases Experience building or supporting data pipelines for AI/ML applications Understanding of software engineering and DevSecOps practices for production systems Strong collaboration skills across technical teams and stakeholders Nice to Have Experience supporting production ML at scale Experience with AWS, Azure, or GCP AI/ML services Familiarity with federal, public sector, or regulated AI environments Exposure to NLP, classification, survey analytics, or entity resolution use cases Location This position is based in the Washington, D.C. metro area, with primary work performed in Suitland, Maryland. Remote or hybrid arrangements may be available for eligible work, subject to government approval. Notice: This role has been opened for a future need expected within three months of the original posting date of this position. Potential candidates may not receive communication until the open headcount is confirmed.

Our Company Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Position Summary As an AI/ML Engineer , you will join our innovative technology team at Optum Technology to design, build, and deploy cutting-edge artificial intelligence and machine learning capabilities that transform healthcare operations. In this role, you will develop scalable GenAI models, Large Language Model (LLM) applications, agentic frameworks, and robust Python inference APIs deployed on Kubernetes infrastructure. Working in a fast-paced, collaborative environment, you will leverage modern developer tools and semantic search capabilities to deliver highly accessible, impactful AI solutions across enterprise healthcare data. You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities Design, develop, and validate machine learning models using GenAI (LLMs, agentic frameworks) and traditional ML techniques on cloud platforms Write and deploy scalable Python APIs for model inference running on Kubernetes, ensuring efficient containerization and orchestration of agentic flows Implement and integrate semantic search capabilities to enhance data accessibility and retrieval for analytics and business intelligence Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI Evaluate emerging technology trends and best practices to inform solution design, architecture, and strategic innovation Leverage enterprise-approved AI tools to streamline developer workflows, automate tasks, and drive continuous software delivery improvement Utilize agentic coding and version control tools (e.g., GitHub Copilot, Claude) for efficient code creation, repository management, and technical collaboration Maintain rigorous coding standards, thorough documentation, and effective performance monitoring across all deployed AI/ML pipelines You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications 4+ years of software development, data engineering, or AI/ML experience 4+ years of professional experience in Python using core data science and machine learning libraries (e.g., scikit-learn, Databricks) 3+ years of experience applying machine learning techniques in a commercial enterprise, including supervised/unsupervised learning, time-series forecasting, or statistical analysis 2+ years of experience applying NLP (transformers, GPT) or LLMs (RAG, vector databases, embeddings) in a production setting with large-scale datasets 1+ years of experience building, deploying, and maintaining RESTful APIs for machine learning model inference Preferred Qualifications Bachelor's degree or equivalent experience Strong analytical, quantitative, problem-solving, and critical thinking skills Strong written and verbal communication skills, including the ability to present detailed technical analyses to diverse technical and business stakeholders Experience with vision and speech models in GenAI (multimodal architectures) Background in healthcare data analytics (e.g., claims, eligibility, enrollment) and working within regulated compliance environments Hands-on experience with containerization and container orchestration technologies such as Docker and Kubernetes Experience utilizing AI-assisted developer and coding tools to accelerate software production and technical documentation Demonstrated familiarity with agentic frameworks, Model Context Protocol (MCP), and Agent-to-Agent (A2A) architectures All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $98,500 to $176,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment. #RPO #GREEN

Our Mission Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model. Why Now Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services. Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact. You'll work alongside exceptional peers on some of the hardest problems in applied AI. It's the kind of work you'll still be proud of in ten years from now. At Brain Co., new-grad engineers contribute to real production systems and see their work deployed at global scale. About The Role As a Machine Learning Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential. What You'll Work On Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals. Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide. Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large. Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills. Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. You Might Be a Great Fit If You… Expect to complete a bachelor's degree in Computer Science, Engineering, Machine Learning, Data Science, or a related field in Spring 2027. Have hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG) and a solid understanding of how large language models are architected and operated. Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow. Possess a strong foundation in data structures, algorithms, and software engineering principles. Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges. Can work collaboratively with cross-functional teams. Thrive in fast-paced environments where priorities or deadlines may compete. Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done. Job Details & Benefits Eligibility: Completing a bachelor's degree in Spring 2027. Competitive full-time compensation and benefits Support and feedback from experienced platform engineers Opportunity to work on real production systems used globally Meaningful ownership from day one, with room to grow alongside the team Daily lunches (if onsite)

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. We are seeking a highly motivated AI Developer – New Graduate to join our US engineering team. This role is based in Morrisville, NC and operates under a hybrid policy. The target start date will be January 2027. This is an entry-level role designed for recent graduates with a strong software engineering foundation and hands-on exposure to AI/ML or Generative AI through internships, research, academic projects, or personal projects. You will participate in the design and development of enterprise AI applications using technologies such as LLMs, RAG, AI Agents, tool/function calling, embedding/vector search, and AI workflow orchestration. This is not a purely research-focused AI position. You will work on real enterprise products and collaborate with product managers, architects, developers, and business stakeholders throughout the solution lifecycle. We are particularly interested in candidates with the potential to grow into an FDE-style engineer — someone who can combine strong technical execution with business understanding, customer communication, rapid problem solving, and end-to-end ownership. Job Responsibilities Design, develop, test, and enhance enterprise AI applications and AI-enabled product capabilities. Build solutions involving LLMs, RAG, AI Agents, prompt engineering, tool/function calling, vector/embedding search, and AI workflow orchestration. Develop backend services, APIs, data integrations, and other components required to connect AI capabilities with enterprise systems. Participate in AI evaluation, testing, debugging, and performance improvement to continuously improve solution quality, reliability, latency, and user experience. Work with product managers, architects, business stakeholders, and engineering teams to understand business problems and translate requirements into practical technical solutions. Participate in requirement discussions, solution design, technical reviews, demos, UAT support, and production deployment. Prototype and evaluate new AI technologies and quickly determine their feasibility for real business scenarios. Troubleshoot technical and production issues and continuously improve application stability and engineering quality. Develop a strong understanding of business processes and user journeys rather than focusing only on individual technical tasks. Gradually take greater ownership of solutions from problem definition and prototyping through implementation and delivery. For candidates demonstrating strong technical and communication capabilities, gradually develop toward an FDE role, directly partnering with stakeholders to explore problems, prototype solutions, and drive AI use cases from concept to production. Basic Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical field. Recent graduate or early-career candidate with strong academic, internship, research, or project experience. Strong programming fundamentals, with hands-on experience in Python. Hands-on project, research, or internship experience in at least one AI-related area such as: Large Language Models (LLMs) Generative AI applications RAG AI Agents AI chatbot / conversational AI NLP Machine Learning Embedding / vector search Tool / Function Calling AI automation Ability to clearly explain the architecture, implementation, challenges, and results of AI or software projects you have personally worked on. Good understanding of software engineering fundamentals, including APIs, databases, debugging, source control, and software development lifecycle. Strong learning ability and curiosity about new AI technologies. Strong problem-solving skills and willingness to work through ambiguous problems. Good verbal and written communication skills, with the ability to collaborate with both technical and non-technical stakeholders. Strong ownership mindset and willingness to learn business processes in addition to technology. Ability to work effectively in a global, cross-functional engineering environment. Preferred Qualifications Master's degree in Computer Science, AI, Machine Learning, Data Science, or a related field. Internship or project experience building production-oriented LLM or Generative AI applications. Experience with frameworks or technologies such as LangChain, LangGraph, AutoGen, Hugging Face, PyTorch, or similar AI development frameworks. Experience with RAG pipelines, vector databases, embeddings, Agent workflows, or tool/function calling. Experience with backend development using Python frameworks such as FastAPI or Flask. Familiarity with relational databases, SQL, REST APIs, cloud platforms, Docker, or Kubernetes. Experience developing and evaluating AI prototypes and converting prototypes into usable applications. Exposure to LLM evaluation, prompt evaluation, test datasets, or AI observability is a plus. Experience working directly with users, customers, product teams, or business stakeholders through internships, university projects, startup experience, or other activities. Demonstrated ability to independently explore an unfamiliar problem, quickly build a prototype, collect feedback, and iterate on the solution. Interest and potential to grow toward a Forward Deployed Engineer (FDE) role combining engineering, product thinking, business understanding, and stakeholder engagement. Mandarin Chinese communication skills are a plus due to frequent collaboration with China-based engineering teams. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.