AI ML Engineering Jobs at Netflix with Visa Sponsorship

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Our Talent AI Team:

We are at a very exciting stage of evolution at Netflix. As we experience growth in our employee population, lines of business, geographical footprint, and workforce heterogeneity, it is imperative that the Talent function evolves accordingly to shape and support this progress. One of the most critical parts of this evolution is the foundation upon which we can scale personalized and inclusive experiences for the workforce.

Our Talent AI team is focused on helping to drive change at scale. The team is fundamentally helping to find ways to drive AI powered solutions in how we attract, develop, and retain the extraordinary people who power our business, while also helping to drive greater AI adoption and fluency across Talent. This team is critical in identifying, prototyping, and shipping AI-powered capabilities across the full Talent lifecycle. The team works closely with all functional areas across Talent — as well as Netflix's central AI teams.

The Role:

We are looking for a Senior Applied AI Lead who can bridge the gap between Talent's biggest opportunities and what is possible with today's AI tools. This person can both envision high-impact solutions and build working prototypes that turn ideas into something stakeholders can actually touch and react to — before a single engineer is engaged.

This is not a traditional product manager role or an engineering role. It sits in the space between: someone with strong Talent domain expertise and genuine AI fluency who moves fast, exercises high judgment about what is worth building, and knows how to take a prototype all the way to a production partnership with engineering.

Responsibilities include, but are not limited to:

• Partnering with Talent teams to identify the highest-value AI opportunities.
• Defining problem statements, scope solutions, and prioritizing ruthlessly — distinguishing genuinely high-leverage AI applications from novelty.
• Developing a deep understanding of Talent's data landscape, workflow pain points, and strategic priorities to inform where AI can create durable impact.
• Designing and building working AI prototypes — from scoping the problem to putting a functional demo in front of stakeholders for validation.
• Use LLM APIs, agent frameworks, AI-native platforms, and workflow automation tools to rapidly iterate without requiring dedicated engineering resources.
• Translating validated prototypes into tight product requirements and partnering with engineering to move from proof-of-concept to production.
• Acting as the domain and product authority for Talent AI features in technical design discussions — bridging the gap between what Talent needs and what engineering builds.
• Owning outcomes, not just outputs — staying engaged through deployment and adoption to ensure the solution actually delivers value.
• Evaluating AI tools, platforms, and vendors with rigor — building a clear point of view on what to adopt off-the-shelf, what to integrate, and what to build custom.
• Staying current on the rapidly evolving AI landscape and translating new capabilities into practical Talent opportunities faster than our peers.
• Building the playbooks, prompting guides, and workflow blueprints that help Talent teams get genuine leverage from AI tools — not just familiarity.
• Developing other Talent team members' AI fluency through hands-on sessions, shared examples, and clear frameworks for when and how to use AI.
• Ensuring every AI solution is designed with appropriate data privacy, security, and fairness considerations — partnering with Legal, Infosec, and other teams from the start, not at the end.
• Partner with central teams to develop a system for tracking and monitoring AI tool engagement, fluency, and business outcomes.
• Contribute to Talent AI's governance frameworks: how we evaluate, deploy, and monitor AI tools responsibly.

Qualifications

• 6+ years in product management, applied AI, technical solutions, or a closely related field — ideally with experience on both a Talent/HR function and a product or technical team.
• A genuine track record of building things with AI: you have used LLM APIs, prompt engineering, agent frameworks (e.g., LangChain, CrewAI, custom agentic workflows), and AI-native tools to create working prototypes without heavy engineering support.
• Experience taking solutions from concept through to production deployment, including navigating technical, organizational, and data infrastructure realities.
• Demonstrated ability to influence senior stakeholders without authority — your credibility comes from insight and delivered work, not title.
• Strong understanding of Talent processes and their data and workflow characteristics — Talent Acquisition, Talent Management, Compensation & Employee Programs, Talent Operations.
• Fluency with modern AI tools and paradigms: LLMs, retrieval-augmented generation (RAG), agentic systems, multimodal models, and AI workflow orchestration.
• Familiarity with HR technology platforms (Workday, Eightfold, etc.) and their integration and API capabilities is a meaningful advantage.
• Comfort with data — you can query a dataset, interpret analytics, and design measurement frameworks for AI solutions without needing a data scientist for every question.
• Ability to communicate with clarity. Translating complex AI capabilities into crisp problem statements and clear business cases for non-technical Talent leaders, and translate fuzzy business problems into specific, buildable solutions for engineers.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $265,000.00 - $450,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.