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Product Engineering at Polar Product engineering at Polar is about shaping and building the finance layer for the next generation of AI products. We're rethinking how billing works for a world of usage-based software, programmable pricing and AI agents – from real-time metering and pricing as code, to more flexible customer identities, giving developers greater control over how they monetize their products. We're interested in engineers who enjoy working across our entire stack, solving complex technical challenges while shaping how developers interact with and experience Polar. We value engineers who think beyond implementation, challenge assumptions and bring the technical depth and product judgement to make sophisticated systems feel simple. We operate as a small, remote-first team with a strong bias towards shipping. We value engineers who can work independently, collaborate when it matters and maintain a high bar for quality without sacrificing speed. More about Polar and how we work What you could work on Depending on your experience and where you can have the greatest impact, this could include: Own product development end-to-end: Identifying opportunities, shipping and iterating on features across our stack – taking responsibility for both the technical implementation and the product outcome. Build exceptional developer experiences: Bringing a strong eye for design, usability and detail to everything you ship. Turning complex billing and monetization workflows into intuitive interfaces, powerful APIs and thoughtful abstractions that make our merchants' lives easier. Ship with speed and quality: Delivering improvements continuously, balancing fast iterations with robust engineering, performance and attention to detail. Stay close to our users: Engaging with our merchants, to understand how they use Polar, uncover pain points and translate feedback into meaningful product improvements. What we look for We're particularly interested in senior engineers who combine strong technical foundations with exceptional product judgement and design sensibility. People who care deeply about developer experience, have opinions about what makes great software and know that building the right thing often means knowing what not to build. Some of the qualities and experience we value in this area include: Strong technical foundations: Experience building, shipping and evolving production software, with deep expertise in at least one part of the stack and the ability to work confidently across frontend and backend systems. You've built and maintained products long enough to understand how early technical and product decisions hold up as they evolve and scale. Product judgement & design sensibility: A deep appreciation for how products look, feel and work. An understanding that developer experience is the product, from the clarity of an API to the smallest details of an interface. Strong opinions, loosely held, and the judgement to challenge assumptions, simplify complexity and know what to leave out. Ownership & pragmatic execution: The ability to take problems end-to-end with high ownership and autonomy, navigate ambiguity, make decisions without perfect information and take responsibility for outcomes. A bias towards shipping and knowing when to iterate quickly and when to invest in stronger foundations. Engineering craft: A commitment to the quality of what gets built – from clean APIs and robust backend logic to thoughtful interactions, edge-case handling and performance. High standards for both technical quality and the experience delivered. Curiosity & collaboration: A willingness to wear multiple hats, collaborate openly and contribute to a small team. Curiosity to learn new technologies and use tools, including AI-assisted development, while maintaining intimacy with the code, sound engineering judgement and ownership of what gets shipped. Experience with payments, billing or developer tools is a strong plus. We also love seeing open-source contributions and side projects. Our stack Frontend: Typescript (React, Effect) Backend: Python (FastAPI, Dramatiq) Infrastructure: Postgres, Clickhouse, AWS.

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com . Reddit is seeking an experienced, highly analytical International Payroll Analyst to own and scale our international payroll operations across LATAM, EMEA, and APAC regions. As a key individual contributor with deep cross-functional influence, you will combine data-driven execution, meticulous attention to detail, and international tax compliance to support a rapidly growing workforce. Reporting to the Sr. Global Payroll Manager, this role will help to drive major strategic initiatives—including Workday enhancements and global payroll vendor implementations—to build scalable, best-in-class operational processes. The role partners closely with Payroll Vendors and internal teams across People, Finance, Tax, Legal, Treasury, Equity, and Internal Audit to deliver accurate, timely, compliant, and employee-centered payroll outcomes. What You'll Do: International Payroll Execution & Oversight: Manage, audit, and execute multi-country payroll delivery across 15+ international countries, including payroll inputs, validation, approvals, funding coordination, reconciliations, statutory filings, and post-payroll activities ensure high accuracy and strict adherence to strict regional pay schedules. Lead the payroll calendar and operating cadence across countries, proactively managing dependencies, cutoffs, exceptions, and risks to ensure employees are paid accurately and on time. Partner with local in-country payroll providers to maintain strict adherence to regional pay schedules and statutory processing windows. Compliance & Equity Management: Oversee international equity compensation payroll processing (RSUs, Stock Options) and ensure full regulatory compliance across international tax jurisdictions, localized statutory benefits, and reporting requirements. Systems & Scaling Initiatives: Act as functional lead for payroll technology projects, leveraging Workday to automate workflows, optimize system configurations, build custom reporting, and partner with the Sr. Global payroll Manager to implement upcoming enterprise Global Payroll solutions. Cross-Functional & Vendor Management: Partner with Benefits, People Operations, Legal, and Finance; manage external vendor relationships and third-party tax fulfillment partners to ensure seamless funds reconciliation and local tax compliance. Process Controls: Establish, document, and enforce global payroll policies, SOX controls, and standard operating procedures to streamline audit readiness (401k, Workers' Comp, Financial Audits). Strategic Growth Projects: Support special business initiatives, including M&A integrations, new country market entries, and business-critical cross-functional launches. What We're Looking For: Experience: 5+ years of progressive payroll operations experience in a high-growth, publicly traded tech company with a global footprint. Education : Bachelor's degree or equivalent practical experience in payroll, accounting, finance, human resources, or a related field. Systems Expertise: Proficiency with Workday Payroll (reporting, configuration, integrations) and global payroll software platforms. Technical & Analytical Skills: Advanced proficiency in Excel/Google Sheets (vlookups, index/match, pivot tables) for complex data analysis, reconciliation, and audit modeling. Domain Expertise: Thorough understanding of global equity taxation, statutory compliance, international labor laws, and multi-currency payroll distribution. Execution & Soft Skills: Strong problem-solving capabilities, high discretion handling confidential data, and exceptional communication skills to collaborate seamlessly across teams. Bonus Points Responding to internal, external, statutory, and financial audit requests, including preparation of reconciliations, control evidence, and supporting documentation. Applying automation or AI tools to payroll operations, analytics, controls, case management, or knowledge documentation. Providing high-quality customer service to employees and business partners across regions, cultures, and time zones. Working in a publicly traded, technology, or high-growth company and supporting international expansion or payroll transformation. How Success Will Be Measured Operational Excellence: Accurate, timely, and compliant payroll delivery across the international footprint. Audit & Governance: Strong controls, clean reconciliations, and audit-ready documentation. Vendor Management: Reliable vendor performance and effective resolution of payroll issues. Scalability: Scalable processes, improved automation, and clear country-level operating documentation. Stakeholder Satisfaction: Trusted partnerships and a responsive, employee-centered service experience. In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com . Working as a Senior Growth Manager supporting Reddit's International Community team, you will develop and execute initiatives that strengthen Reddit's user and community ecosystems in the US and across international markets. This position is open to candidates based in the UK or the US - East Coast. This is not a marketing role. You will identify high-impact growth opportunities, design and execute experiments, and develop successful interventions into repeatable models that can be applied across markets. Your work may include building and scaling communities, increasing the supply of relevant content and contributions, reaching underserved audiences, and strengthening Reddit's user experience. The role combines growth strategy, hands-on experimentation, data analysis, and cross-functional influence. You will work closely with Product, Data Science, Marketing, and Community teams while maintaining the autonomy and entrepreneurial mindset required to scale successful initiatives to other markets. Responsibilities: User & Community Growth Strategies: Establish and execute comprehensive strategies to grow the user base and nurture communities. Growth Experimentation: Design and execute growth experiments aimed at addressing gaps in content supply, community density, contribution, discovery, engagement, and user growth. Apply a creative, entrepreneurial approach by testing ideas quickly, learning from results, and iterating accordingly. Scaling and Repeatability: Translate successful experiments into repeatable playbooks, processes, and recommendations that can be applied across markets. Determine which elements can scale broadly, which require local adaptation, and what operational or product support is needed to unlock broader impact. Data & Performance Analytics: Monitor key growth and ecosystem indicators, including DAU, contribution, content supply, community health, and retention. Analyze performance trends, identify risks and opportunities, and establish clear measurement frameworks for experiments and scaled programs. Cross-functional Collaboration: Partner with various internal teams to provide insights, shape priorities, and scale growth initiatives. Build compelling evidence through experimentation to influence cross-functional investment and product development. Required Qualifications: Bachelor's degree or equivalent practical experience. 7+ years of experience in user growth, product operations, or market expansion, with a demonstrated track record of executing growth initiatives at scale. Strong entrepreneurial instincts, hands-on execution skills, and the ability to make progress independently in ambiguous or resource-constrained environments. Data-driven and analytical mindset, with proficiency in Excel modeling, working knowledge of SQL, and experience creating scalable processes and automations. Strong systems thinking, with the ability to distinguish between market-specific problems and growth opportunities that can be addressed through repeatable approaches. Exceptional communication and stakeholder-management skills, with the ability to collaborate effectively and align cross-functional stakeholders across global teams. Results-oriented mindset, strong attention to detail, and a bias toward execution. Comfort balancing a portfolio of opportunities across the US and international markets and prioritizing based on potential impact, feasibility, and strategic relevance. In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Thank you for considering Tailscale . If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We're seeking a talented and motivated full-time Software Engineer, AI Enablement to help Tailscale's engineering organization get the most out of AI-assisted development. You'll join a small, high-leverage team reporting to our co-founder, working alongside our first AI enablement engineer to build the tools, workflows, and practices that help every engineer at Tailscale build faster and more safely with AI. This is a foundational role — you'll have real latitude to shape what AI enablement means here as we scale, with direct visibility into how the whole engineering org adopts these tools. Key Responsibilities Partner with engineering leadership and Tailscale's technical staff to define and drive our internal AI-enablement roadmap. Work closely with the team building Aperture by Tailscale, our AI gateway used both internally and offered as a product. Build and iterate on the tools, workflows, and shared practices that help engineers get real value from coding agents — and evaluate new models and tools, making clear calls on what we adopt. Partner with engineering and non-engineering teams to find high-leverage opportunities to apply AI — this is a support function, so success means other teams shipping faster because of what you've built. Establish the guardrails, review practices, and documentation that make AI-generated code safe to ship, and act as the internal advocate who helps teams adopt good practices without mandating a single tool. Track adoption and measure the real impact of AI tooling on velocity and quality, and report back to leadership. What We Are Looking For 5+ years of professional software engineering experience Genuine, daily, hands-on fluency with modern AI coding tools (Claude Code, Codex, Pi, or similar) — real power-user experience, not occasional use Experience building and shipping internal tools or developer-facing automation Strong written and verbal communication and internal advocacy skills — comfortable teaching, writing, and influencing engineers at very different comfort levels with AI tooling A balanced approach — trying to get people to use AI effectively and safely where appropriate. We don't have an 'AI mandate'; we believe that if we make AI both easy to use and safe, people will choose to use it when appropriate. Comfort with ambiguity and self-directed prioritization on a small, still-forming team Product or systems thinking — able to identify and prioritize high-leverage opportunities, not just execute a pre-set roadmap Nice to Have Prior experience in developer experience, platform engineering, or internal tooling Experience evaluating or benchmarking LLMs and coding agents Experience with a systems language such as Go or Rust, in addition to Python Background in security or code-review practices — helpful for reasoning about AI/agent-generated code, though you don't need to be a security engineer Experience in developer relations, technical evangelism, or customer-facing developer advocacy — the same skills that make someone effective in external DevRel translate well to driving internal AI adoption Technical project management experience As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. UK Pay Range £128,770—£178,540 GBP What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com . The Global Tax Team is seeking a hands-on indirect tax professional to help build and scale Reddit's global indirect tax function. As Reddit continues to grow as a public company and expand its products and commercial offerings, this person will own critical elements of our US and international indirect tax operations, including US S&U tax and VAT/GST. You will partner closely with the business to translate complex tax requirements into practical decisions, reliable systems, and scalable processes. In keeping with Reddit values, the successful candidate will operate with an open mindset, exercise sound judgment, and "value the human" in every interaction. This position will report to the International Tax Senior Manager. Responsibilities: Manage key elements of Reddit's global indirect tax function across B2B and B2C revenue streams, including US S&U tax, VAT/GST, DSTs, and other transactional taxes. Oversee indirect tax registrations, return compliance, payments, exemption documentation, taxability determinations, and related controls across multiple jurisdictions. Own and improve indirect tax processes and systems, including product and taxability mapping, exemptions, transaction testing, system integrations, data validation, and issue resolution. Serve as the indirect tax cross-functional partner for new products and initiatives, commercial arrangements, billing changes, and geographic expansion. Monitor and implement evolving e-invoicing, digital reporting, and real-time reporting requirements. Perform indirect tax account reconciliations, accruals, journal entries, close activities, and internal controls. Advise on the indirect tax provisions of customer and vendor agreements, invoicing requirements, and available exemptions. Manage indirect tax audits, notices, and disclosures. Monitor legislative and regulatory developments and assess their impact on Reddit. Develop scalable processes, automation, metrics, and documentation that improve data quality, reduce manual work, and strengthen operational controls. Contribute to broader Global Tax Team priorities and ad hoc projects, flexing beyond the role's core indirect tax responsibilities as business needs evolve. Qualifications: Bachelor's degree in Tax, Accounting, or a related field. 6+ years of indirect tax experience in public accounting and/or a multinational corporate tax function, including meaningful hands-on operational experience. Technical and operational experience with both US and international indirect taxes, including B2B and B2C transactions. Experience researching product and service taxability, registration and nexus obligations, place-of-supply rules, invoicing requirements, and exemptions. Experience supporting indirect tax compliance, accounting, audits, and controls across multiple jurisdictions. Ability to understand end-to-end transaction flows and convert tax requirements into workable processes, data requirements, and system configurations. Strong project-management skills and experience supporting system changes or other cross-functional initiatives. Excellent written and verbal communication skills, including the ability to clearly explain complex tax matters to non-tax stakeholders. Ability to work independently, manage competing priorities, and exercise sound judgment in a fast-moving and evolving environment. Strong attention to detail, ownership, curiosity, and commitment to developing durable solutions rather than temporary workarounds. Preferred Qualifications: Vertex experience is highly preferred, particularly with rule or product mapping, transaction testing, system integrations, configuration changes, data validation, reconciliations, and production troubleshooting. Experience with another enterprise indirect tax engine will also be considered. Experience with indirect tax issues affecting technology, digital media, advertising, subscriptions, SaaS, or other high-volume transactional businesses. Experience implementing e-invoicing, digital reporting, or real-time reporting requirements. Experience working with ERP, billing, procurement, and financial-reporting systems and analyzing large transactional datasets. Experience with automation or data tools such as Alteryx or SQL. A CPA, CMI, MST, JD, LLM, or comparable professional qualification. A combination of public accounting and in-house experience. In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands. The Ads Foundational Representations (AFR) team develops signals and representations of Reddit's core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that Reddit Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with. Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas: Multimodal & Content Embeddings - Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space. Contextual and Behavioral Relevance - Working with Product & Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance. Knowledge Graph Embeddings - Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting & business insights. User Intent Modeling - Leveraging various techniques to introduce user representations based on the content they interact with: batch & real-time sequence modeling, LLM summarization, etc. LLM-based Representations - Leveraging LLMs, VLMs, and foundational models to build complex representations of Reddit entities that improve ranking outcomes The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization. As a Staff ML Engineer , you'll be in charge of setting the technical direction of multiple pillars the team owns. You will lead cross-functional ML projects end to end - from high-level business gap analysis to engineering execution. Roughly 50% of your time will be spent on technical leadership and mentorship (driving strategy & designs, cross-functional collaboration, raising the quality bar), another 50% being individual hands-on work (data analysis & engineering, modeling & automation). Responsibilities Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high. Working closely with team/org leadership developing technical strategy for content-based embeddings & relevance for Ads. Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models. Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings. Building data processing and inference pipelines for the models we develop. Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments. Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management. Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance. Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions. Required Qualifications: 7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models. Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority. Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing. Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them. Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers. Familiarity with the Ads domain and/or Search/Recommender systems. Experience with mainstream DL frameworks: PyTorch or TensorFlow. Preferred Qualifications: Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP) Tech leadership experience: mentoring junior engineers and leading complex projects. Hands-on experience with using/fine-tuning/building LLMs. Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Private Pension plan with Employer-matching 100% employer-sponsored group medical plan Income Replacement Programs Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

At Stark, we forge the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision. As a premier defence technology company, our mission is clear: to equip NATO Allies and their partners with next-generation autonomous defence platforms and advanced AI-driven software built to perform in the world's most demanding environments. We believe that true security stems from relentless innovation. By combining elite engineering talent with agile technology and an AI-native operational culture, Stark turns complex defence challenges into field-tested, multi-domain solutions. Why Join Us? The software and systems you work on directly protect personnel and defend European and national sovereignty. You will work alongside industry-leading minds on autonomous systems, advanced propulsion, and secure cyber platforms. We foster a fast-paced, collaborative environment where bold ideas are supported by serious R&D backing. About the Team You will join our hardware engineering team, working closely with engineers across propulsion, power systems, testing, and aircraft development to turn measured data into better-performing unmanned systems. Your Mission Your mission is to work hands-on with the parts of the aircraft that turn stored energy into flight: the motors, the batteries, and the propulsion and power components that decide how far, how fast, and how long our platforms fly. You support the hardware team from bench characterisation through data analysis in MATLAB and Python. Responsibilities Support characterisation and bench testing of motors, propellers, batteries, and power components for our UAS platforms. Help set up test rigs and instrumentation, and capture clean, repeatable measurement data. Assist with component selection and trade-offs by turning test data into clear comparisons. Reduce and analyse test data in MATLAB and Python — efficiency, thrust, endurance, thermal and discharge behaviour. Visualise results so the engineering team can make decisions from them quickly. Keep test setups, measurements, and findings documented and traceable. Required Skills Currently enrolled in a Bachelor's or Master's in Electrical, Mechanical, Aerospace, or a comparable engineering field. Working knowledge of MATLAB and Python for data analysis. Interest in and some exposure to UAS, electric propulsion (motors / ESCs), or battery / power systems. Must be a citizen of a NATO member state (due to export control and security regulations). Practical, hands-on mindset — comfortable at the bench and with a multimeter as much as in a script. Good written and verbal communication skills in English; German is a plus. Hands-on: You like building, measuring, and finding out what really happens. Rigorous: You trust clean measurements over assumptions. Curious: You want to understand why a component behaves the way it does. Nice-To-Have Experience with test benches, DAQ, or measurement instrumentation. Familiarity with battery testing, thermal behaviour, or motor/propeller characterisation. Personal projects with drones, RC aircraft, batteries, or robotics. Equal Opportunity: At Stark Defence, we are committed to building a diverse, inclusive, and high-performing team. We operate in an industry where women, as well as other minority groups, are systematically under-represented. We actively encourage applications from candidates of all backgrounds and identities. If you are excited about this role, we encourage you to apply even if you don't meet all the listed qualifications—ability and impact cannot be summarised in a few bullet points. We value unique perspectives, adaptability, and a drive to solve high-stakes challenges. Security Clearance: Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process. Find more English Speaking Jobs in Germany on Arbeitnow

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: QA Engineer – Automation Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $115,000–$130,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary: We are seeking an experienced QA Engineer - Automation to design, develop, and maintain robust automated testing frameworks for enterprise web, API, and distributed systems. In this role you will be a key contributor to engineering quality, partnering with development teams to expand test coverage, embed automation into CI/CD pipelines, and accelerate confident software delivery. The ideal candidate will combine strong hands-on experience with modern automation frameworks with a clear understanding of testing strategy, including risk-based testing, exploratory testing, and continuous testing in Agile environments. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical discipline Four or more years of QA automation experience Strong hands-on experience with Selenium, Cypress, or Playwright Hands-on experience automating REST APIs Strong understanding of testing methodologies and the software development lifecycle Experience integrating automation into CI/CD pipelines Solid SQL skills for data validation Experience working in Agile/Scrum environments Strong debugging, problem-solving, and analytical skills Excellent communication and documentation skills Preferred Qualifications Experience with performance testing tools (JMeter, Gatling, k6) Knowledge of containerized test environments using Docker and Kubernetes Experience with cloud-based testing environments such as BrowserStack or Sauce Labs Exposure to behavior-driven development frameworks (Cucumber, SpecFlow) Familiarity with security testing fundamentals (OWASP, basic penetration testing) How To Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR Q5iCPj03yB

The application window is expected to close on: 10/26/2026 ++This is a hybrid position, based out of Milpitas, CA office++ Meet the Team Join the Cisco Catalyst Center team, a dynamic group dedicated to transforming enterprise network management through automation and intelligence. Our team plays a critical role in simplifying complex network operations, enabling organizations to deliver seamless, secure, and scalable digital experiences. We are a collaborative and innovative team, passionate about leveraging cutting-edge technologies to drive network assurance and operational efficiency. With a culture that fosters continuous learning and growth, Network Platform team members work closely across Cisco's broader networking and security portfolios to shape the future of intent-based networking! Your Impact Test Global Management features across Cisco Cloud Control, Meraki Dashboard, and on-prem deployments. Validate next-generation scale scenarios involving multiple organizations and large numbers of managed devices. Develop and execute test plans for Catalyst Center lifecycle management workflows. Test agentic operations involving Cisco Cloud Control dashboards, Catalyst Center, and backend service integrations. Validate API interfaces, service behavior, data flows, and end-to-end workflows. Build and maintain automation for functional, integration, regression, and scale testing. Use AI-assisted tools and techniques across the SDLC to improve test planning, automation development, defect triage, log analysis, and overall engineering productivity. Identify, isolate, document, and track defects through resolution. Collaborate with development teams to improve testability, observability, and release quality. Minimum Qualifications Bachelor's Degree in Computer Science or related area, combined with 5 years of related experience, or Master's Degree in Computer Science or related area, combined with 3 years of related experience, or a PhD with 0 equivalent related work experience. QA/testing experience for cloud, SaaS, enterprise networking, or distributed systems. Experience testing REST APIs, backend services, dashboards, and integrated workflows. Automation experience using Python, Java, Go, or similar languages. Familiarity with AI-assisted SDLC practices, including AI-supported test generation, automation, defect analysis, documentation, and engineering workflows. Experience with Kubernetes, microservices, CI/CD pipelines, and cloud/on-prem deployment models. Preferred Qualifications Experience with Cisco Cloud Control, Cisco Catalyst Center, network management platforms, or enterprise networking domains. Exposure to Quarkus-based services and Go-based backend components. Ability to analyze logs, troubleshoot service behavior, and validate issues across multiple components. Experience with scale, performance, reliability, and resiliency testing. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $155,000.00 to $222,600.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees* receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees On Sales Plans Earn Performance-based Incentive Pay On Top Of Their Base Salary, Which Is Split Between Quota And Non-quota Components, Subject To The Applicable Cisco Plan. For Quota-based Incentive Pay, Cisco Typically Pays As Follows .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area $155,000.00 - $256,000.00 Non-Metro New York State & Washington State $138,100.00 - $227,900.00 For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

About The Role The role owns the infrastructure that makes machine learning work in production: CI/CD for models, scalable training pipelines, feature stores, and monitoring systems that catch drift before it breaks anything. This is not a generic DevOps role — it sits at the intersection of ML systems and platform engineering. The MLOps engineer enables data scientists and ML engineers to ship models fast without sacrificing reliability. As model complexity grows and GPU costs matter, the work here directly determines how quickly the entire ML organization can iterate and deploy. Key Responsibilities Build and maintain CI/CD pipelines for ML model deployment using tools like Kubeflow, MLflow, Argo Workflows, or GitHub Actions Design and operate training and inference infrastructure on Kubernetes (EKS/GKE), including GPU scheduling, autoscaling, and cost optimization Implement model serving stacks using TorchServe, NVIDIA Triton, vLLM, or KServe with low-latency, high-throughput requirements Establish model monitoring and observability: data drift detection, performance metrics, alerting with tools like Evidently, Grafana, and Prometheus Develop automated data and feature pipelines using Airflow, dbt, or Spark, ensuring reproducibility from raw data to training datasets Manage experiment tracking, model registries, and artifact versioning (MLflow, Weights & Biases) with clear promotion and rollback workflows Write infrastructure-as-code using Terraform and collaborate with data scientists to productionize models without handoffs slowing anyone down What We Are Looking For 3–6 years of experience in MLOps, ML platform engineering, or backend/DevOps engineering with significant ML infrastructure exposure Strong Python skills plus production experience with Kubernetes, Docker, and at least one workflow orchestrator (Airflow, Kubeflow, Dagster) Hands-on experience deploying and serving models in production on AWS, GCP, or Azure, including GPU-based inference workloads Deep understanding of CI/CD principles applied to ML systems: model versioning, canary deployments, shadow traffic, automated rollback Experience with monitoring and observability tooling for ML systems (drift detection, latency/throughput SLOs, cost tracking) BS/MS in Computer Science, Engineering, or equivalent practical experience building large-scale distributed systems Bonus: Experience with LLM inference optimization (quantization, batching, KV-cache tuning), feature stores (Feast, Tecton), or FinOps for GPU cost management

Job Description Summary GE Vernova is embracing cutting-edge technologies to streamline operations, improve customer experiences, and drive growth. As part of this vision, we are building a dedicated team to leverage Generative AI and redefine how we engage with our industry. The ultimate goal of the team is to automate prompting, develop a framework for prompting across use cases to maximize reuse as well as sharing across businesses. We are seeking a highly motivated and talented AI Engineer to join our dynamic team. The successful candidate will be responsible for creating and optimizing prompts for LLMs, collaborating with domain experts and end users to develop software solutions that address both internal and external needs. This position offers a great opportunity to work at the intersection of advanced technology and traditional industry, making a tangible impact on our business processes. As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy[1]focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. Job Description Responsibilities: Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts. Develop, test, and refine prompts for a variety of use cases, ensuring high accuracy and relevance in generated outputs. Work closely with software developers to integrate LLM solutions into existing or new applications. Contribute to the development of a scalable framework for prompt engineering, promoting reuse and knowledge sharing across different business units. Assist in gathering and analyzing user feedback to continually improve prompt effectiveness. Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection. Document prompt engineering processes, best practices, and use case outcomes to build a comprehensive knowledge base. Requirements: 10+ years of relevant experience and a Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields. Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Ideal Candidate Characteristics: PhD degree in Computer Science, AI, ML, Engineering, Data Science, or related field 3+ years of experience with prompt engineering and familiarity with tools such as OpenAI's GPT models, Hugging Face, etc. 5+ years of experience with Python or other programming languages commonly used in AI/ML development . Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy). Previous experience or internships involving NLP or machine learning projects. Familiarity with version control systems like Git. Understanding of traditional industry operations and challenges. Strong problem-solving skills and attention to detail. Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Ability to work collaboratively in a team environment and adapt to changing project requirements GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $131,700.00 and $219,300.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on September 01, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title Applied AI Engineer Location: 100% Remote (Continental United States) Position Type: Full-time, Direct W2 Salary Range: $130,000–$180,000 Annually (based on experience) Experience Required: 10+ Years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary Bright Vision Technologies is seeking a highly experienced Applied AI Engineer with 10+ years of experience in Artificial Intelligence, Machine Learning, and Deep Learning to design, develop, and deploy enterprise-scale AI solutions. The ideal candidate will possess deep expertise in Python, PyTorch or JAX, Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, and MLOps , with a proven track record of taking AI models from research to production. This role requires strong technical leadership, hands-on development, and the ability to architect scalable, secure, and high-performance AI systems. Key Responsibilities Design, develop, and deploy production-grade AI and machine learning solutions that address complex business challenges Architect scalable training, inference, and MLOps pipelines for enterprise AI applications Develop, fine-tune, evaluate, and optimize Large Language Models (LLMs), deep learning models, and multimodal AI systems Build AI applications leveraging Retrieval-Augmented Generation (RAG), vector databases, embeddings, prompt engineering, and agentic AI frameworks Design and implement machine learning pipelines for NLP, Computer Vision, recommendation systems, and predictive analytics Optimize model performance, latency, scalability, and infrastructure utilization across cloud and distributed computing environments Collaborate with data scientists, software engineers, product managers, and business stakeholders to deliver production-ready AI solutions Establish best practices for model evaluation, Responsible AI, governance, security, monitoring, and lifecycle management Mentor junior AI engineers and contribute to technical leadership, architecture reviews, and engineering best practices Evaluate emerging AI technologies, foundation models, and frameworks to drive continuous innovation Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical discipline 10+ years of professional experience in Artificial Intelligence, Machine Learning, Deep Learning, or Applied AI Expert-level programming skills in Python with extensive experience using PyTorch, JAX, or TensorFlow Proven experience developing and deploying Large Language Models (LLMs), NLP, Computer Vision, and deep learning applications in production Strong knowledge of distributed training, GPU optimization, model serving, and production ML deployment Hands-on experience with MLOps, CI/CD pipelines, model monitoring, feature engineering, and automated ML workflows Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) for AI workloads Strong understanding of machine learning algorithms, statistics, model evaluation, experimentation, and optimization techniques Excellent problem-solving, communication, collaboration, and technical leadership skills Preferred Qualifications Experience with LLM fine-tuning, Retrieval-Augmented Generation (RAG), agentic AI, multimodal AI, and vector databases such as Pinecone, Weaviate, Milvus, or FAISS Hands-on experience with AI orchestration frameworks such as LangChain, LlamaIndex, LangGraph, or similar technologies Experience deploying AI applications using Kubernetes, Docker, Ray, or distributed inference frameworks Publications in AI/ML conferences, open-source contributions, patents, or recognized technical leadership in the AI community Knowledge of Responsible AI, AI governance, model security, fairness, explainability, and regulatory compliance Ph.D. or Master's degree with a specialization in Artificial Intelligence, Machine Learning, Computer Vision, or Natural Language Processing Interested in this opportunity? Apply today for immediate consideration! Email your updated resume: jaya@bvteck.com Call or Text: (908) 505-3545 Learn more: www.bvteck.com Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR q89KJfFG5x