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 Team

The Studio Media Algorithms team is at the forefront of algorithmic innovation to enhance and support the creation of Netflix’s entertainment content, including games. In this role, you will be embedded within this team while collaborating very closely with a specialized Games Studio R&D team. This incubation-style team is chartered to lead our investments in building new kinds of games leveraging emerging technologies to support our creators and reach player audiences in new ways.

The Role

We are seeking a Machine Learning Scientist to lead the research and development of Large Language Models (LLMs), Vision-Language Models (VLMs), and multi-modal foundations and solutions for games. This role is defined by a mandate for inference efficiency; you will not only build and fine-tune state-of-the-art models but also lead the algorithmic innovation required to make them viable in terms of cost, latency, and quality across a variety of cloud and edge devices.

You will work in close partnership with our Machine Learning Engineers to bridge the gap between "research-grade" models and high-performance deployment, with your focus being on algorithmic optimization—ensuring that our language, visual, and audio models are architecturally optimized for real-time interaction and efficiency.

Responsibilities

• Model Adaptation & Alignment: Design and own the fine-tuning and alignment of LLMs and VLMs in PyTorch, leveraging modern preference learning and reinforcement learning to enhance reasoning, tool-use, and agentic workflows for interactive game systems.
• Algorithmic Model Optimization: Lead efforts in model compression—specifically knowledge distillation, structural pruning, and architectural refinement—to create efficient variants of large models that meet strict latency, cost, and quality constraints.
• Generative Visuals & Diffusion: Develop and optimize Diffusion-based models for Image, Video, and 3D generation, including distillation and efficiency techniques for viable game-time performance.
• Pragmatic Model Integration: Strategically evaluate and integrate SOTA open-source and commercial models while building internal "layers," adapters, and enhancements to fill gaps in creative control.
• Multi-modal Interaction: Optimize and integrate audio (ASR/TTS), language, and vision models to enable low-latency, cross-modal reasoning and interaction.

About You (Requirements)

• Multi-modal Architecture Expertise:  Strong foundation in deep learning architectures, with deep expertise in Transformers and Diffusion architectures powering LLMs, VLMs, and generative visuals, including their specific performance bottlenecks.
• Optimization Specialist: Proven track record in algorithmic model optimization (e.g., distillation, quantization-aware training, or pruning) to reduce FLOPs and memory footprint.
• Data-Centric Mindset: Skilled in data cleaning, curation, and the creation of synthetic data for complex evaluation and training pipelines.
• Pragmatic Builder: Ability to prioritize impact by deciding when to use commercial APIs/OSS weights versus when to invest in proprietary R&D to solve efficiency or quality problems.
• Programming: Expert proficiency in Python and deep learning frameworks (such as PyTorch); ability to collaborate with engineering on low-level performance constraints.

Bonus Experience

• Prior experience optimizing models for heterogeneous hardware (Mobile, Cloud GPU, and custom edge devices).
• Expertise in audio-visual multimodal models and video generation.

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 $466,000.00 - $750,000.00.

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.

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 Globalization team at Netflix is looking for an Internationalization Engineer to help shape how Netflix works for audiences everywhere. In this role, you will partner closely with engineering and product teams across the company, serving as a subject matter expert on internationalization best practices while architecting, building, and championing solutions that scale globally. You will not just fix issues, you will define the standards and systems that power Netflix’s international experience.

This is a lean, highly collaborative team based primarily in Los Gatos, CA. If you are excited about owning internationalization at a company with bold global ambitions and helping stories travel the world seamlessly, we would love to talk.

Responsibilities

• Serve as an internationalization evangelist across Netflix, raising the internationalization IQ of engineering, design, and product teams company-wide.
• Champion the adoption of ICU and CLDR standards throughout the organization and help teams use them effectively.
• Define and drive the internationalization roadmap, communicating priorities and progress clearly to all stakeholders.
• Partner closely with Product Managers to ensure business decisions align with internationalization best practices from day one.
• Provide hands-on technical leadership to product and engineering teams, applying deep knowledge of internationalization standards and global-ready architecture.
• Embed with product teams to help internationalize code, externalize localizable content, and improve overall localizability.
• Build backend services, frontend applications, and automation tools to support global scale when needed.
• Design and implement internationalization tooling and conformance checks at code submission and build time.
• Develop, maintain, test, debug, and deploy production-ready internationalization libraries used across Netflix.

Required skills

• Proven experience in internationalization engineering, especially for web platforms and integrating internationalization frameworks into production systems.
• Strong foundation in software design and architecture, data structures, and algorithms, with an eye toward building elegant, global-ready systems.
• Experience delivering scalable, highly available, high-performance applications.
• Passion for contributing to open source, ideally within the ICU and CLDR ecosystems.
• Clear, confident communication and presentation skills, with the ability to influence technical and non-technical partners.
• Deep expertise in JavaScript, Node.js, and React, with expert-level Java knowledge and strong internationalization best practices across the stack.
• Hands-on experience building full-stack systems on AWS.
• Extensive experience with Spring Boot and Gradle in production environments.
• Comfort using modern development tools, web services, and advanced scripting techniques.
• Proven ability to externalize and manage localizable content stored in databases.
• Experience designing internationalization tooling and automation for continuous localization workflows.
• Background integrating enterprise localization platforms into build and CI systems to enable continuous localization cycles.
• Thorough understanding of Unicode, ICU4J, CLDR, and related internationalization standards.
• Practical experience leveraging AI to accelerate and improve software development.

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 $388,000.00 - $558,000.00.

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.

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.

*About the Role*
Our team is seeking a highly skilled Software Engineer to join the Broadcast Systems Team within the Live Broadcast Technology group. This role is pivotal in developing and scaling our physical broadcast workflow orchestration tooling, which is essential for automating and orchestrating live workflows at Netflix end-to-end. While this role is primarily focused on engineering our backend APIs, the team is responsible for both backend and frontend development, ensuring we can efficiently provision and orchestrate our infrastructure as we expand to new markets.

*Responsibilities*

• Develop and support the orchestration tooling, with a focus on backend components, focusing on reliability and scalability.
• Collaborate with the Live Broadcast Operations team to build and automate live workflows, reducing manual configurations and enhancing operational efficiency.
• Scale our orchestration services to support a global network of physical ingest points, addressing challenges related to ingest, routing, and control.
• Work closely with the Live Streaming Pipeline team on design and integration efforts, ensuring seamless interaction between ground and cloud systems.
• Document processes and systems meticulously to ensure clarity and consistency across teams and stakeholders.
• Engage in future responsibilities, including BOC and MCR automation, as the service evolves.

*Qualifications*

• 5+ years of hands-on professional experience in software engineering, with a focus on distributed services in the cloud.
• Strong software engineering design principles as we model complex broadcast workflows
• Extensive experience in designing and implementing comprehensive automated software testing frameworks.
• Good communication skills, both written and verbal, to effectively convey technical concepts to non-technical stakeholders.
• Proficiency in programming languages such as Java, Go, or similar, with robust programming skills.
• Strong problem-solving skills and the ability to troubleshoot complex systems.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
• Ability to work collaboratively in a cross-functional team environment with operations, partner development teams, broadcast engineering partners, live launch/project management teams and more

*Nice-to-have*

• Experience with 2110 networking, including timing and routing concepts
• Experience with containerization technologies such as Docker and Kubernetes.
• Familiarity with broadcast hardware and software from GrassValley, Appear, EVS, AI Media, TagVs and AWS Elemental
• Experience with open-source multimedia frameworks and tools.
• Experience with real-time data processing and analytics.
• Understanding of streaming protocols and codec basics, especially broadcast codecs.

*Why Join Us*
Be part of a team that is transforming live broadcast technology at Netflix. Your work will directly impact the quality and scalability of live events, contributing to a seamless experience for millions of viewers worldwide. At Netflix, we value individual contributions and offer opportunities for professional growth and leadership within a flat, highly aligned structure.

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 $388,000.00 - $558,000.00. 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.

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 Localization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.

We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and Machine Learning Engineers working on multimodal LLM and audio algorithms. You will support a highly talented team in developing cutting‑edge algorithms and systems, and collaborate closely with cross‑functional partners to enhance localization experiences for Netflix members around the world.

Responsibilities

• Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio algorithms to achieve Netflix’s ambitious localization goals.
• Mentor, support, and inspire a team of Research Scientists and Machine Learning Engineers, amplifying their impact and fostering their career growth.
• Partner with technical leads on defining area strategy, planning and executing projects, and developing talent.
• Set and operationalize a high bar for both execution speed and quality, while nurturing a culture of exceptional technical excellence.
• Bring cutting-edge technical expertise and build deep domain knowledge to uncover new opportunities and make strategic bets.
• Build strong relationships with cross-functional, cross-domain partners to shape long-term collaborations and shared visions.
• Act as a functional leader and domain expert, representing the team’s work and strengthening the team’s internal and external brand.
• Contribute to the growth and upskilling of the broader Machine Learning community at Netflix.

About you

• Proven track record of successfully leading highly technical ML research and engineering teams in multimodal LLMs, speech recognition and understanding, and generative speech.
• Highly proficient in multimodal LLM and speech algorithm research, and deeply committed to staying current with the latest technical developments; have led teams to launch and continuously improve production ML services.
• Passionate about leading teams through ambiguous and complex technical and business challenges; focused on bringing clarity, structure, and effective execution.
• Strong track record in mentoring and developing talent, with proven success recruiting researchers and engineers at multiple levels.
• Master’s or PhD in Machine Learning, Computer Science, or a closely related field.
• 6+ years of hands-on ML experience (or 4+ years with a relevant PhD).
• 2+ years of experience leading ML teams.
• Exceptional verbal and written communication skills.
• 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 $523,000.00 - $920,000.00. 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.

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.

| ABOUT YOU

You are a highly skilled and independent thought leader with a passion for developing high-quality products. You excel at tackling intricate, open-ended challenges and are capable of forming strong collaborative relationships across various teams. You have a proven track record of building scalable, high-performance applications and are adept at influencing strategic decisions within your department or technical domain. Your full-stack expertise, combined with a strong product mindset, enables you to solve complex enterprise problems in the production domain. You excel at understanding business workflows, building data-intensive systems, and creating seamless integrations between multiple platforms to deliver end-to-end solutions that production teams rely on daily.

In this role, you will be instrumental in shaping our strategic vision. As a vital member of the team, you will be responsible for creating company-wide tools that enhance productivity and streamline operations. You will design, develop, and maintain robust products and infrastructure, ensuring seamless integration with third-party and internal services. Your ability to communicate technical concepts clearly and persuasively will be crucial in collaborating across functions and driving impactful solutions. Your work collaborating cross-functionally across your scope allows you to lead, grow, and create opportunities for colleagues so they can scale their impact. 

| RESPONSIBILITIES

• Identify, architect, develop, test, deploy, and operate fully integrated solutions across build/buy that provide seamless end-to-end product experiences.
• Lead cross-functional technical efforts, driving alignment and consensus across diverse teams.
• Design and implement scalable systems and make critical technical decisions on technology, reliability, and performance.
• Design, build, and maintain infrastructure for modern integration methods between our applications, third-party services, and other Netflix teams' services.
• Design and implement sophisticated data synchronization pipelines and scenario management systems that maintain data consistency across multiple source-of-truth systems while handling complex bidirectional data flows and real-time updates.
• Solve complex, high-impact problems and influence strategies to improve system and product quality across Talent Tech Engineering.
• Influence strategies and execution roadmaps within your department or technical areas of expertise, ensuring alignment with business goals.
• Deliver a variety of artifacts, including code, algorithms, designs, prototypes, strategies, or architectures, that lead to system simplification and higher impact.
• Collaborate extremely effectively with product managers, designers, other engineers, stakeholders, and vendors on projects within the team and across all of Netflix.
• Communicate complex technical issues and business impacts clearly to varied audiences.
• Mentor, develop, and grow members in your department/sub-function.

| WE VALUE

• Strong problem-solving skills and the ability to make data-driven decisions
• Passion for engineering principles and developing tools and applications for impact with high quality
• Ability to thrive in a dynamic environment where needs shift and clearly articulate priorities and critical outcomes to your team
• Demonstrated sound judgment by taking a strategic approach to solving technical problems with a holistic view of the business impact
• Role model for inclusion, ensuring all voices are heard and facilitating the emergence of the best ideas
• Ability to foster psychological safety and hold colleagues across the sub-function to the same standard
• Track record of building and maintaining complex data integration pipelines with high reliability requirements, especially involving bidirectional synchronization across multiple systems

| SKILLS AND EXPERIENCE

• 10+ years of experience as a software engineer, demonstrably delivering on time and with quality
• Expert knowledge of data structures, algorithms, modern design patterns, and layers
• Deep experience with Java, Spring Boot, React, Python, relational databases (PostgreSQL preferred).
• Knowledge and understanding of GraphQL or REST API patterns.
• Demonstrable ability to lead a project, deliver an end product on time, at quality, and influence technical roadmaps
• Passion to build internal solutions and own the development of mission-critical applications that serve as the operational backbone for studio productions
• Extensive knowledge of building quality APIs for internal and external products
• Experience integrating internal and third-party services into your solutions
• Proven track record of mentoring and developing other engineers
• Ability to shift from tactical to strategic approaches and break down large problems into manageable pieces

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 $388,000.00 - $558,000.00. 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.

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.

About the Team

The Customer Service Platform team empowers Netflix Customer Service to help out customers 24x7. We do this by creating a maintainable, scalable, and resilient technology ecosystem that blends in-house and vendor solutions.  

Our areas of responsibility include powering our help center through Content Management System (CMS), building a support agent-facing member management system (CRM), and maintaining other metadata management & operations tools.  We focus on operational efficiency, on both agent and customer experience, and enabling rapid innovation in how Netflix does Customer Service, especially in the world of Generative AI. 

We are transforming our technology ecosystem from one composed of mostly legacy home-grown applications to a modern hybrid architecture that strategically integrates vendor solutions while preserving Netflix-specific values. This platform powers support experiences across Streaming, Games, and Netflix House, complemented by significant investment in GenAI initiatives that will define the future of customer service.

About the job

We are looking for a seasoned engineer who is either a jack of all trades between frontend and backend, or have some speciality to bring to the table, e.g. experience building GenAI applications, prior experience in support domain, or experience working on hybrid ecosystems.

You will be the informed captain, responsible for ideating, building, testing, and deploying robust features that meet both technical and business objectives. While being independent, it may require close collaboration with many Netflix engineering sister teams, product stakeholders and external vendors, to deliver the comprehensive end-to-end solutions. 

You should have the platform mindset, as the system is built with layers of abstractions and orchestrations to handle massive end-user traffic and integrate with different vendor solutions at scale and flexibility. We are not only building for today, but also for tomorrow & beyond.

Qualifications:

• Experience with TypeScript or JavaScript
• Experience with modern UI framework such as React
• Solid experience in object oriented programming in Java, C++ etc incl. Javascript class
• Solid experience with API technologies such as GraphQL, gRPC, and REST

• Solid knowledge of data structures, DB schema design and modern design patterns

• Extensive experience integrating internal and/or third-party services

• Experience with cloud computing platforms like Amazon Web Services

Nice to have

• Experience in customer support / account management domain
• Experience with Generative AI / ML at application level
• Experience working with SLOs, SREs, and contemporary observability platforms.
• Experience developing build tooling or delivery automation
• Experience with distributed systems / cloud deployment / AWS multi region
• An advocate for reliability and operational excellence
• A good grasp of UX fundamentals

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 $388,000.00 - $558,000.00. 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.

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.

*About the Engineering Support Organization*

The aim of the Engineering Support Organization is to enable Infrastructure Engineering to effectively and sustainably scale the support they provide to their customers. The team  is the frontline resource for the engineering support needs of our customers (i.e., our workforce) - handling, troubleshooting, and resolving customer requests and issues. In addition, the team will focus on ways of working, customer advocacy, support tooling, platform product offerings, documentation, and developer education.

*Our Mission*

Deliver an excellent support experience to Netflix’s developer community. To advocate for our customers, follow through on issues and resolve them in a reasonable time. If blockers prevent immediate resolution, we communicate status and ensure there is visibility into why there is a delay.

Provide insights, feedback and champion customer sentiment about the tools we support to our partners across Infrastructure Engineering. Partner with Product Management, Developer Education and Engineering to track and maintain visibility into ongoing issues and communicate customer needs to ensure improving in these areas is prioritized.

Drive collaboration efforts to reduce product friction and increase usability so that Infrastructure Engineering can build, deploy and deliver highly functional solutions for the Developer Community.

*The Role*

We are looking for a Support Solutions Engineer with a passion for cloud networking, customer service, and automation. You will be responsible for monitoring and handling our customers’ requests, troubleshooting, solving issues, automating support needs, developing support documentation and runbooks, improving and maintaining support tools and automation, understanding our product offerings, and continuously looking for ways to improve the engineering support experience.

Our ideal team member has first-hand experience working in customer-facing, engineering support roles, writing and building a comprehensive self-service knowledge base and has knowledge of infrastructure, internal tooling, platforms, and cloud networking. You are excellent at understanding and solving complex and ambiguous problems and constantly seek improvement. As an Engineer in this role, we need a candidate who can understand our complex offerings on a technical level, be hands-on in the development of our support automation tooling, and recommend product and operational improvements based on customer interactions.

*Location*

• Our offices are located in Los Gatos.
• Open to Remote

*What you’ll need to be successful:*

• Proven ability to deliver superior customer support and advocate for customer needs across complex organizations, ideally within a central team.
• Highly adaptable, thriving in fast-paced, ambiguous environments, and comfortable managing end-to-end investigations with creative problem-solving.
• Data-driven decision-maker with strong written and verbal communication skills, including experience enhancing documentation and explaining technical concepts to diverse audiences.
• Deep understanding of network access control in AWS and Kubernetes environments, including security group rule evaluation, CIDR notation, protocol/port specifications, and cross-account access patterns, with experience troubleshooting "why can't I connect" scenarios.
• Proficiency in DNS fundamentals including record types (AAAA, CNAME, MX, TXT), zone delegation, TTL behavior, and resolution troubleshooting, with hands-on experience in Route53 or equivalent DNS management platforms.
• Working knowledge of AWS VPC concepts (subnets, route tables, NAT gateways, VPC peering, PrivateLink, TransiGateways, CloudWAN) with understanding of IPv6 and IPv4 differences, including address allocation, dual-stack configurations, and IPv6-specific considerations (NAT44, NAT64, Happy Eyeballs). Familiarity with infrastructure-as-code practices and platforms (OctoDNS, Terraform) for managing network resources at scale.
• Familiarity with load balancing concepts (DNS round robin, ALB/NLB, Classic ELB), including listener configuration, target groups, health checks, and common failure modes in distributed systems.
• Ability to leverage existing monitoring dashboards, log analysis tools, and large datasets (with basic SQL) to investigate issues, identify patterns, and communicate findings clearly to both technical and non-technical stakeholders.
• Eager to continuously learn and improve operational efficiency through automation and visualization, with a strong desire to understand how security products and platforms work together.

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 $270,000.00 - $410,000.00. 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.

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.

*About the Engineering Support Organization*

The aim of the Engineering Support Organization is to enable Platform Engineering to effectively and sustainably scale the support they provide to their customers. The team  is the frontline resource for the engineering support needs of our customers (i.e., our workforce) - handling, troubleshooting, and resolving customer requests and issues. In addition, the team will focus on ways of working, customer advocacy, support tooling, platform product offerings, documentation, and developer education.

*Our Mission*

Deliver an excellent support experience to Netflix’s developer community. To advocate for our customers, follow through on issues and resolve them in a reasonable time. If blockers prevent immediate resolution, we communicate status and ensure there is visibility into why there is a delay.

Provide insights, feedback and champion customer sentiment about the tools we support to our partners across Productivity and Data Platform Engineering. Partner with Product Management, Developer Education and Engineering to track and maintain visibility into ongoing issues and communicate customer needs to ensure improving in these areas is prioritized.

Drive collaboration efforts to reduce product friction and increase usability so that Platform Engineering can build, deploy and deliver highly functional solutions for the Developer Community.

*The Role*

We are looking for a Support Solutions Engineer with a passion for data platform infrastructure and tooling, customer service, and automation. You will be responsible for monitoring and handling our customers’ requests, troubleshooting, solving issues, automating support needs, developing support documentation and runbooks, improving and maintaining support tools and automation, understanding our product offerings, and continuously looking for ways to improve the engineering support experience.

Our ideal team member has first-hand experience working in customer-facing, engineering support roles, writing and building a comprehensive self-service knowledge base and has knowledge of infrastructure, internal tooling, platforms, and cloud computing. You are excellent at understanding and solving complex and ambiguous problems and constantly seek improvement. As an Engineer in this role, we need a candidate who can understand our complex offerings on a technical level, be hands-on in the development of our support automation tooling, and recommend product and operational improvements based on customer interactions.

*What you’ll need to be successful:*

• A minimum of 5 years of professional support or engineering experience, particularly in Big data technologies including and not limited to Spark, Trino, Druid, Iceberg, Hadoop framework, Kafka and Flink.
• Prior experience supporting platforms built using open source technologies such as Apache Kafka, Spark, and Hadoop.
• You have worked with big data warehouse storage systems (e.g. Iceberg)
• You have at least 1 year of experience in providing technical support for Kafka clusters or other pub/sub systems like Google Cloud Pub/Sub, RabbitMQ, etc.
• Ability to read and write SQL queries to pull required complex data to support any reported issues/product defects
• Prior Experience with cloud infrastructure and/or container orchestration platform

• You have the desire and aptitude to learn how the pieces of the big data platform work together .

• Ability to adapt to new tools and technologies quickly, and a willingness to continuously learn and grow in the field of big data and data movement.

• You are a data-driven and evidence-based decision-maker

• You are proficient in at least one programming language, ideally Python and/or Java, enabling you to contribute to codebases across related domains
• Experience in developing tools and scripts to automate processes and improve efficiency, with a strong focus on continuous improvement.
• Demonstrated ability to provide superior customer support across a complex organization, with a focus on enhancing the customer experience.
• Excellent written and verbal communication skills, with an appreciation for the importance of comprehensive documentation.
• Strong collaboration skills and experience working with cross-functional teams.
• Passion for creating technical documentation and tutorials, with a deep understanding of what makes an effective knowledge base.
• Strong problem-solving skills and the ability to troubleshoot complex issues in a dynamic environment
• Knack for providing proactive feedback during early development stages of a product offering based on subject matter expertise and user sentiment.

*Other attributes that will excite us:*

• Experience building GenAI solutions for Support is a big plus
• Experience building and maintaining mature support infrastructure

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 $270,000.00 - $410,000.00. 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.

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 Payments Product Finance & Strategy team is looking for a highly analytical and product-oriented Associate to join our team based in Los Gatos, California. You will play an essential role in monitoring payment performance and driving the deep-dive analyses that increase subscriber acquisition, improve retention, and maximize global revenue. You will be part of the team responsible for turning payments data into business and product insights that directly inform the evolution of our payments strategy. To succeed, you must be a self-starter with a builder mindset, capable of navigating a fast-paced environment and communicating complex technical ideas to a diverse set of stakeholders. 

Responsibilities:

• Partner closely with Product Managers to inform and influence the payments roadmap. You will lead the strategic assessments and impact sizing required to help PMs navigate complex trade-offs and prioritize initiatives with the highest global ROI. This includes working cross-functionally throughout the organization with a large number of stakeholders (e.g. Payments, Commerce Finance & Strategy, Data Science, Engineering, and Consumer Insights etc.).
• Monitor and analyze key performance indicators across the payment lifecycle, including checkout conversion, payments performance, and measuring impact of new payment method offerings and retention optimizations.
• Monitor payment processing cost, identify trends and opportunities for cost savings with key vendors and strategic payment partners. Conduct regular audits to ensure the payment processing fees are correctly applied per contract and ecosystem rules.
• Synthesize complex data into clear, compelling memos and presentations for executive leadership. You must be able to tell the story behind the numbers, translating technical payment metrics into actionable business insight.
• Partner with Data Science and Data Engineering to define requirements for metric dashboards, ensuring data integrity and accuracy while identifying opportunities to improve analytical tooling efficiency.

Qualifications:

Netflix is growing fast with a flat organizational structure, which means that employees are often asked to perform tasks with a range of difficulties. The ideal candidate will be prepared to regularly “roll up their sleeves” to perform more mundane tasks on the same day that they present to the executives of the company. Candidates must be curious, motivated, disciplined, and able to work autonomously.

• 5+ years experience in a highly analytical role (e.g., Finance & Strategy, Product Analytics, or Strategic Operations).
• Exceptional verbal and written communication skills, and experience with crafting strategy and data insight to executive-level presentations (e.g. memos, slides). You can simplify complex technical concepts into a clear, compelling narrative.
• Excellent at turning business questions into analytical plans and connecting insights to product-oriented actions.
• Prior experience in the payments and commerce product space is not required but highly preferred.
• Excellent analytical skills, including the ability to use business intelligence tools (SQL and Tableau), build financial models, sort through complex data to crystallize business implications, and craft a data-driven story. Experience with Python or R, and familiarity with using GenAI toolkits, is a plus.
• Self-driven, comfortable with a fast-paced and highly ambiguous environment. Capable of remaining highly organized and aligned in a loosely structured organization.
• Bachelor’s degree in finance, economics, accounting, mathematics, statistics or a related quantitative field.

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 $180,000.00 - $275,000.00.

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.

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 Studio Media Algorithms team is at the forefront of innovation to enhance and support the vision of the creators of movies, TV shows and other multimedia work. This team's work is responsible for increasing member value, and driving efficiency of the content creation process, ultimately creating more joy for viewers all over the world. To learn more about the domain, here are some links related to what we do: Creating Media with Machine Learning and Computer Vision Research at Netflix.

We are looking for a Research Scientist with demonstrated experience in computer vision (CV) and/or related areas such as natural language processing (NLP) or computer graphics (CG) to research and develop core algorithms and models that will be incorporated into the tools used by content creators throughout the production lifecycle, including live action, animation, and games.

In this role, you will:

• Design, train/post-train/fine-tune, and evaluate foundational algorithmic solutions with applications in a variety of domains in the VFX, animation, and games space, pushing forward the state of the art in CV as needed
• Develop reusable foundational components and best practices, such as dataset curation, large-scale training, and post-training processes, which can be used by other scientists and engineers across teams
• Work cross-functionally with engineers, scientists, artists, and product leaders to help identify and prioritize strategic research investment opportunities and problem requirements
• Expand technical depth and domain expertise into new/adjacent areas as the business needs and the state of technology evolve

About you:

• Research experience with a successful track record of delivering quality results and/or academic publications in top ML, CV, CG, or NLP venues
• Deep familiarity with modern generative model architectures, including diffusion models (e.g., MMDiT) and/or autoregressive models (e.g., GPT-style).
• Experience with the full stack of model development: data curation, annotation/captioning, distributed training, post-training techniques (e.g., fine-tuning, RL), and/or robust evaluation.
• Expertise in designing and training deep learning (DL) architectures for media understanding and generation, with a broad understanding of DL methods and literature
• Deep mathematical skills with knowledge of statistical methods and optimization
• Extensive experience with DL frameworks such as Tensorflow or PyTorch
• Strong programming skills in languages such as Python, Java, or C++
• Great interpersonal skills for collaboration with technical and non-technical partners
• Advanced degree in Computer Science or related field

Bonus experience:

• Cutting-edge work on modern generative methods and their building blocks
• Expertise in 3D vision and/or graphics
• Domain experience in content production, such as live action, games, or animation, and a track record of developing tools/solutions in these (or closely relevant) areas

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 $466,000.00 - $750,000.00.

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.