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. The Merchandising and Content Understanding Data Science and Engineering organization shapes how members discover and engage with Netflix. We build foundational algorithmic capabilities and agentic frameworks for content understanding that power merchandising, discovery, ratings, and a wide range of applications across Netflix. We are seeking a Senior Manager to lead a group of Research Scientists, ML Engineers, Data Scientists, and Analytics Engineers focused on Multimodal Large Language Models (MLLMs) and agentic systems for deep, complex content understanding. In this role, you will own a multi‑domain portfolio, define strategy, and drive high‑impact algorithmic systems that shape how Netflix represents and merchandises its catalog globally. Responsibilities - Define and execute a cohesive strategy for how MLLMs and agentic systems power deep, complex content understanding applications across Netflix. - Oversee end‑to‑end initiatives spanning research, ML engineering, measurement science, and continuous improvement. - Manage and grow a multidisciplinary organization: attract and retain top talent across levels and disciplines; develop strong technical leaders and managers. - Shape the organizational structure, operating model, and interfaces between teams to maximize leverage, alignment, and velocity. - Partner closely with cross‑functional leaders to define long‑term roadmaps for content understanding. - Bring deep, hands‑on expertise in MLLMs and agentic systems to guide technical direction and strategic bets. - Establish best practices and elevate technical excellence for complex algorithmic and agentic systems operating at Netflix scale. - Act as a key thought leader in the broader Netflix ML community - sharing learnings, mentoring leaders, and raising the bar across the company. About you - Proven track record leading multidisciplinary, highly technical algorithmic teams with responsibility across multiple domains or sub‑teams. - Experience operating at a senior‑manager (or equivalent) level, including setting org‑level strategy, managing managers and technical leads, and influencing cross‑organizational priorities. - Demonstrated experience taking advanced MLLM and agentic systems from research to production and continuously improving those systems post‑launch at scale. - Skilled at bringing structure to highly ambiguous, fast‑evolving problem spaces; able to connect long‑term bets in foundational models and agentic systems with near‑term product use cases and business value. - Strong record of recruiting, mentoring, and developing senior ICs, tech leads, and managers; known for building inclusive, high‑trust, high‑performance cultures where people do the best work of their careers. - Exceptional verbal and written communication skills; adept at sharing compelling visions and shaping decisions that affect multiple organizations. - Master’s or PhD in Machine Learning, Computer Science, or a closely related field (or equivalent practical experience). - 6+ years of hands‑on ML experience (or 4+ years with a relevant PhD), including substantial work in modern deep learning. - 3+ years leading ML teams, with at least 1–2 years managing multiple teams or leaders (e.g., senior manager, group lead, or equivalent). - Deeply committed to delivering end‑to‑end business impact. - Netflix culture resonates with you. 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 $676,000.00 - $1,195,000.00. 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.

• Architect and deploy complex, multi-agent orchestration workflows end-to-end using frameworks like Langchain. • Build and maintain a robust production evaluation framework for both online and offline LLM performance, ensuring our systems are accurate, reliable, and defensible. • Develop and optimize orchestration and routing protocols to accelerate AI development and unblock cross-functional teams building on difficult problems. • Serve as a technical mentor and thought leader for teams, advising on prompt engineering, workflow design, and the critical trade-offs between classical ML and agentic approaches. • Collaborate directly with the AI Innovation Lab Manager and SVP of Engineering to align technical execution with Q2 product commitments. • Independently solve complex engineering hurdles in the agentic stack, moving from POC to a deployed MVP within a 90-day window.

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us. The Role Traditionally, ML systems were built to solve narrow tasks (e.g., item recommendations), with orchestration logic hard-coded outside the model. Increasingly, LLMs are becoming the orchestration layer, deciding which models to invoke, when to use them, how to interpret outputs, and how to chain steps together. In this paradigm, the models we build deliver low-latency, large-scale personalization that advances Block’s mission of economic empowerment. We work closely with Design, Product, and Engineering teams across Block’s ecosystem, applying a spectrum of approaches from simple heuristics and embeddings to deep learning and large language models. We also invest heavily in agentic engineering and AI-assisted tooling to enable high-velocity, reliable development. This includes code generation, automated testing, documentation, and developer workflows. You will play a key role in shaping how these practices scale, ensuring they remain rigorous, auditable, and trusted as their impact grows. You Will - Lead strategic initiatives in AI Personalization, driving the vision, architecture, and execution - Develop and deploy new AI/ML models that power search & recommendations in traditional UX as well as new agentic interfaces - Deploy to production at scale to personalize every user’s experience - Be a technical leader and establish quality practices that stick, make broader design decisions and set an example for others to follow - Collaborate with a cross functional team of designers, business partners, and software engineers to build new technologies and features - Design experiments, test them on production users, analyze and repeat You Have - 10+ years building and operating quality software - Domain expertise in recommender systems, ranking systems, or similar with 5+ years of experience - Led the development of complex models trained on large datasets powering customer facing features - Strong software engineering skills - Strong communication skills and customer empathy - Experience with PyTorch, PySpark, Databricks and AWS is a plus Technologies We Use and Teach - We work with a modern, production-grade stack that includes industry-standard tools such as PyTorch, PySpark, Prefect, and Databricks - Alongside these, a core part of the role is evaluating and prototyping with a rapidly evolving set of internal platforms and tooling - Block is investing heavily in AI, and our modeling workflows are evolving accordingly - This creates a rare opportunity to work with emerging systems as they take shape—both leveraging them in practice and influencing how they are designed - The team is at the forefront of rethinking how models are built, validated, and deployed in an AI-first environment, with the goal of setting new industry standards We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page. While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted. Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Zone A: $228,700—$343,100 USD Zone B: $217,300—$325,900 USD Zone C: $205,900—$308,900 USD Zone D: $194,500—$291,700 USD Application Guidelines Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us here with hiring practice or data usage questions. Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Privacy Policy

Role Description We are looking for a Machine Learning Scientist with specific background and skills in the LLM space, who is passionate about applying AI and ML to solve high-impact societal challenges. The ideal candidate will have a strong research background with 3+ years of relevant LLM experience or a PhD in the LLM area, and expertise in designing and implementing machine learning models, data analysis, and simulations. - Expertise beyond building RAG systems and prompt engineering. - Skilled in mentoring junior researchers and working in cross-functional teams. - Contributing to both practical deployments and academic research. - Demonstrated commitment to social good. - Strong communication skills and ability to translate complex problems into deployable ML solutions. As an ML Scientist, you will be responsible for building machine learning solutions to problems of societal importance and mentoring other team members in this effort. You will participate in stakeholder engagements, setting critical requirements, problem definition, and the development and execution of algorithms and solutions to the problems. - Understand user challenges and their context. - Curate and transform data. - Train and validate models. - Create evaluations and benchmarks. - Run simulations and derive insights from data. - Work in cross-functional teams spanning engineering, solutions, domain experts, and designers. - Collaborate with social sector organisations and researchers across the world. You will be encouraged to drive fundamental advances to the technology domains themselves as part of the efforts towards their application, present your work in technical and other forums of interest, and publish in leading conferences and journals. - Excellence as an individual contributor goes together with good teamwork and collaboration. - Mentor junior researchers, post-docs, and interns. - Participate in recruiting and hiring activities. - Interact with external partners when required. - Make periodic visits to the communities from where challenges are derived and where the solutions will be deployed. Qualifications - Bachelor’s degree or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics or a relevant quantitative field with relevant work experience of 6+ years OR a Master’s degree in these fields with 4+ years of relevant experience OR a Ph.D. in Machine Learning with a focus on LLMs from a reputed institute. - Experience applying AI, machine learning, and data science to real-world problems. - Strong research background. - Experience in mentoring junior researchers through strong code practices and ideation. - Adept at a variety of data mining/analysis methods and tools. - Building and implementing models, visualising data, creating/using algorithms, and running simulations. - Familiarity with popular deep learning algorithms, transformer architectures, and advances in LLMs or foundation models. - Experience with building and evaluating conversational (multi-turn) chatbots is a plus. - Comfortable working with cross-functional teams. - Excellent oral and written communication skills. - Track record of driving projects to completion. - Evidence of written skills through high quality research publications is a plus. - Passionate about using technical skills to solve large societally important problems. Benefits - Insurance Benefits - Medical Insurance, OPD Coverage, Accidental Insurance, Life Insurance. - Wellness Program - Employee Assistance Program, Annual Health Check-Ups, Onsite Medical Centers, Emergency Support System. - Parental Support - Maternity Benefit, Travel Reimbursement for Expectant Mothers during Last Trimester, Paternity Benefit, Day Care Support Program. - Mobility Benefits - Travel Policy, Relocation and Deputation benefits. - Statutory Benefits - Employee PF Contribution, Gratuity, Leave Encashment. - Other Benefits – Unlimited Leave Policy, Professional Development Policy, Referral Bonuses, Internet and Telephone Allowance. We care deeply about the well-being of our employees and their families. You will get an opportunity to take on roles beyond a defined job description. Take a look at our website www.wadhwaniai.org to learn more about our work on AI for Social Impact. These are just some of the reasons why working with us is more than just a job — it's a chance to grow, thrive and contribute to society.