Show Crew Member- Full Body Puppet (KPDH Experience)
Netflix
Quantitative Researcher, Commerce Product [Remote]
Netflix
Software Engineer 5 – Model Development and Management, AI Platform
Netflix
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.
Netflix is the world's leading streaming entertainment service with 300M+ paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages. Machine Learning drives innovation across all product functions and decision support needs. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.
We are seeking an ambitious software engineer to join the Model Development and Management team, that is building the user interface layer for Netflix’s AI Platform in order to accelerate the core loop of model creation, evaluation, experimentation, and deployment. In this role, you'll help shape the future of ML infrastructure at Netflix, with opportunities to contribute to open-source projects and you’ll develop expertise across the full ML lifecycle while working with cutting-edge technologies.
AI Platform and Model Development and Management team are working with various teams at Netflix. You’ll gather requirements, design, and implement products that help accelerate model development for different ML use cases. You’ll have the opportunity to work alongside our applied researchers and data scientists on the cutting edge of machine learning. You will have a strong customer focus and consistently engage with our ML community to source feedback, identify pain points, and opportunities to evolve our platform.
To be successful in this role, you must have a strong software engineering background, a keen sense of software design, have proven experience with distributed applications and ML systems, be a good communicator, and work well in large cross-functional teams.
What we are looking for:
Experience developing platform solutions - SDKs, developer frameworks, or internal tooling used by ML Researchers, ML Engineers, and Data Scientists, emphasizing a user-first approach and demonstrating strong user empathy.
Excellent software design and development skills in Python along with one of Scala, Java, C++.
Experience working on or alongside modern, large-scale ML services. You understand the full lifecycle from data and features to training, experiment tracking, and production deployment, and can build tooling that makes that lifecycle faster and more reliable.
Familiarity with ML workflow orchestration, experiment tracking, or feature/data infrastructure — ideally with tools like Metaflow, Airflow, Kubeflow, MLflow, or similar.
Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems.
5+ years of full time software engineering or machine learning experience with a bachelor’s and master’s degree; or PhD degree.
Preferred, but not required additional areas of experience:
Experience building machine learning models or LLMs
Experience designing or building agentic systems.
Experience working with public clouds, especially AWS.
Significant contributions to open source projects.
More information
To learn more about the work we do to check if it aligns with your interests, check the following articles:
Supporting Diverse ML Systems at Netflix
Metaflow
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.
Inclusionis 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.
Originally posted on Himalayas
Analytics Engineer 5 - Ads Identity & Signals
Netflix
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.
In 2022 we launched a new lower-priced, ad-supported tier, and we are building an in-house, world-class ad-tech ecosystem to give our members more choice and to offer advertisers a premium, better-than-linear-TV experience. We are looking for the founding members of this new business area for Netflix.
The Identity & Signals team builds the identity foundation of the Netflix ads business — the graph and matching systems that let us recognize the same person or household across signals, devices, and partner data sources, and that determine which signals we can responsibly and accurately use for targeting, measurement, and reporting. We build and maintain the identity graph, run and evaluate entity-matching and resolution pipelines, and manage relationships with identity providers so that advertisers and internal teams can trust the signals underneath every campaign.
This is a foundational role on a small, high-leverage team. You will build the analytics and data infrastructure that powers identity matching and graph construction — designing the tables, pipelines, and metrics that let the team and its stakeholders understand match quality, coverage, and drift over time. You'll work end-to-end: from raw signal ingestion, through matching logic and graph construction, to the dashboards and data products that make identity health visible and actionable across the company.
In This Role, You Will
- Design, build, and maintain the data models and pipelines that support identity graph construction, entity matching, and identity resolution across first-party and third-party signals.
- Partner with data engineering and software engineering to productionize matching logic, ensuring pipelines are scalable, well-tested, and monitored for data quality and drift.
- Build metrics, dashboards, and analytics that quantify match rate, match quality, coverage, and graph stability, and that surface anomalies before they affect downstream campaigns.
- Work closely with data science to evaluate and improve matching algorithms, providing the clean, well-documented data and features needed to test and iterate on models.
- Manage and evaluate the analytics relationship with external identity providers (e.g., Experian, TransUnion, LiveRamp), including onboarding new sources, validating match performance, and monitoring ongoing data quality.
- Translate identity graph and matching concepts — nodes, edges, match confidence, deterministic vs. probabilistic matching — into clear, actionable insights for product, sales, and other non-technical stakeholders.
- Collaborate with product and cross-functional partners to define identity requirements, evaluate trade-offs (accuracy vs. coverage vs. privacy), and prioritize roadmap work.
- Communicate technical decisions, trade-offs, and results clearly to both technical and non-technical audiences at all levels of the company.
We Are Looking For
- 5+ years of experience as an analytics engineer, data engineer, or similar role working with large-scale data.
- Experience working with graph data structures and graph-based data models (e.g., property graphs, graph databases, or graph analytics on top of relational/columnar stores).
- Familiarity with entity matching / identity resolution concepts — deterministic and probabilistic matching, fuzzy matching, blocking/candidate generation, and match quality evaluation.
- Knowledge of, or direct experience working with, identity providers such as Experian, TransUnion, LiveRamp, or similar data/identity partners.
- Strong SQL and Python skills, with experience building and maintaining production data pipelines.
- Experience designing data models, metrics, and dashboards that make complex technical systems understandable to non-technical stakeholders.
- Demonstrated ability to collaborate closely across data engineering, software engineering, data science, and product teams.
- Ability to work independently, drive your own projects, and make compelling cases for prioritization.
- Embodies the Netflix values while bringing a new perspective to continue improving our culture.
Nice To Have
- Experience with ad-tech identity concepts — cross-device identity, household graphs, cookie/ID deprecation, or media measurement.
- Experience with graph databases or graph-processing frameworks (e.g., Neo4j, Neptune, GraphFrames, or similar).
- Familiarity with our ML/data stack (Metaflow) or comparable large-scale data tooling.
- Experience working with privacy-sensitive data and an understanding of relevant data governance and privacy considerations for identity data.
- Experience applying GenAI to boost developer/analytics productivity.
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.
Inclusionis 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.
Originally posted on Himalayas
Full Stack Software Engineer 4 - Content Promotion and Distribution
Netflix
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 Content Promotion and Distribution (CPD) Engineering Organization creates technology to set up, promote, and launch content on the Netflix service and off service on social channels. We build products and services that manage a global entertainment catalog and enable our members to discover, choose and talk about the content they can watch or play.
Spotlight on Content and Catalog Understanding Engineering Team:
Within the CPD organization, the Content and Catalog Understanding Engineering Team is responsible for building technology that enables both human and machine learning-based review of our entertainment catalog to enable classification and categorization. This powers the fundamental building blocks for how member discovery experience is constructed, how we target the right advertisements against the right content, and much more. In this role, you will build workflows that enable:
Tagging content with genres, characters, storylines, and other key dimensions.
Designing, launching, and promoting immersive experiences that captivate global fans.
Creating editorial content that invites fans to connect deeper with their favorite titles.
Qualifications
Comfortable working across the full software stack: designing and consuming GraphQL and/or RESTful APIs to power rich client experiences, and building resilient, high-scale, low-latency services in production.
Have recent, hands-on backend experience in Java, C#, or a similar OO language, along with solid OO design principles.
Experience with microservices, data modeling, and API design, and translating business requirements into technical designs and data models.
Understand distributed systems concepts like multithreading, parallelism, and software observability.
Have recent, hands-on experience building complex, high-quality user interfaces with HTML, JavaScript/TypeScript, and CSS, with exposure to React and modern frontend architecture (component design, state management, performance optimization). A strong eye for UI/UX craft.
Able to describe complex technical concepts to cross-functional peers, driving conversations and decisions through written and verbal communication.
Work cross-functionally with design, product, and engineering partners to build, test, deploy, and launch features end to end.
Participate in on-call rotation and lead incident reviews.
What Sets You Apart
Curious about a broad range of new or unfamiliar technologies, the consumer base, and product vision.
Seek different perspectives, feedback, and relevant information to continuously grow and improve.
Maintain strong relationships with cross-functional teams through clear communication.
Take a thoughtful, practical approach to problem-solving that considers tradeoffs and avoids over-engineering.
Comfortable asking questions and seeking knowledge in unfamiliar or ambiguous situations.
Endeavor to elevate the knowledge, skills, and abilities of yourself and others that are conducive to fostering an inclusive, collaborative environment.
A few more things about us:
As a team, we come from many different countries and our fields of education range from the humanities to engineering to computer science. Our team includes product managers, program managers, designers, full-stack developers, distributed systems engineers, and data scientists. Folks have the opportunity to wear different hats, should they choose to. We strongly believe this diversity has helped us build an inclusive and empathetic environment and look forward to adding your perspective to the mix!
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 $250,000.00 - $413,000.00. 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.
Inclusionis 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.
Originally posted on Himalayas
Executive Producer - Mainstream, Narrative & New Experiences (Games)
Netflix
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.
This is your chance to be at the forefront of Netflix’s new offering of Games. We will bring these new experiences to market through the world's leading streaming entertainment app with 300 million paid memberships in over 190 countries who are already enjoying TV series, documentaries and feature films across a wide variety of genres and languages.
Members can watch as much as they want, anytime, anywhere, and now they can enjoy mobile + cloud games anytime, anywhere with a collection of Netflix curated and produced Games. At Netflix, we have an insatiable need to continually improve our product experience and the creative elements that support it and this team sits at the forefront of the effort.
As an Executive Producer for the Mainstream, Narrative and New Experiences Portfolio, you will be an operational and creative leader in our game development process, driving strategic initiatives and ensuring excellence across a large portfolio of games. As a strategic partner to the General Manager, you will work to turn the portfolio strategy into games for our players.
Drawing from deep experience in developing, operating, and publishing games, you will influence the portfolio, overall game strategy and deliver high-quality outcomes. Your role will involve managing a team of producers, fostering a culture of innovation, collaboration, creative execution, and continuous improvement while delivering amazing game experiences to our players.
Responsibilities:
- Executive Production: Accountable for portfolio-level production excellence. You will work with the General Manager to ensure successful execution of the GM’s portfolio strategy. You will focus on quality, predictability, and performance of the titles in your portfolio while considering the overall Netflix Games goals.
- Strategic Leadership: Influence and shape the overall games production strategy, leveraging your recognized industry expertise to drive the success of our portfolio.
- People Leadership: Lead and mentor a team of producers, guiding them to deliver high quality games, while maintaining healthy team culture: collaborative, transparent, motivated, committed, and focused on realistic goals. You will draw on your experience to help identify risks and mitigate them.
- Cross-Functional Leadership:Build bridges to connect with strategic partners, solving complex issues across wider cross-functional teams.
- Game Expert:Subject matter expert in game development, helps ensure the game vision and feature choices align with player tastes. You should be player-focused and genuinely care about the player experience, including curiosity about player community and feedback
- Strategic Initiative Ownership: Identify and drive initiatives central to the growing success of the team, ensuring alignment with strategic goals.
- Game Champion: Serve as an internal advocate for your games, crafting and presenting product updates to various audiences, providing the right level of detail and visibility into milestones and challenges to stakeholders and partners
Qualifications:
- 15+ years of experience in Video Game Production, with expertise in Development, Publishing and LiveOps. Deep toolkit of production processes, with the judgment to select and adapt the right tools to ever-changing requirements.
- Proven success in managing large portfolios and delivering high-quality game production outcomes at various scales (from team-level to AAA) and running live games at scale to players all over the world
- Strong understanding of end-to-end game development processes, including design, programming, art, and audio.
- Ability to manage multiple projects and prioritize tasks effectively in an ever-evolving, fast-paced environment.
- Knowledge of first-party (platform-holder) processes and requirements
- Experience in managing co-dev and outsourcing partners
- Excellent communication skills for conveying complex ideas and presenting to stakeholders at all levels. Skilled at stakeholder management
- Strong analytical and creative problem-solving skills to assess progress and address development challenges. Uses data to help answer questions about the game, audience, and development process
- Experienced at change management, balancing ‘farming for dissent’ against execution
- Experience in managing project budgets and making cost-effective decisions without compromising quality.
- Knowledge of quality assurance processes and coordinating testing to ensure high standards.
- Able to manage project to quality while staying on schedule and budget
- Strong leadership and management skills to motivate teams and maintain a positive, productive environment.
- Up-to-date with industry trends, player preferences, and competitive landscape.
- Openness to feedback and adaptability to changing project requirements.
- Passion for gaming and understanding of various game genres and platforms.
Location:
- Los Angeles metro area preferred
- Remote OK with regular travel to LA
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 $350,000.00 - $700,000.00. 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.
Inclusionis 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.
Originally posted on Himalayas
AI Research Scientist 4/5 - Generative Models, Recommender Systems
Netflix
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 Promotional Assets & Creative Technology AIMS team is at the forefront of Netflix's efforts to effectively promote titles and enhance the content discovery experience. We are looking for a seasoned Machine Learning Scientist to design and develop innovative Machine Learning (ML) solutions. In this rare opportunity, you will have the chance to define the direction for algorithmic strategies and spearhead the execution of ML solutions and ultimately shape how titles are promoted on Netflix and discovered by our members.
Responsibilities
Track advancements in LLM and generative model research, and translate them into concrete opportunities for the problem space we are working on.
Apply state-of-the-art techniques to high-impact problems such as summarization quality and building LLM-based evaluators ("judges") that assess whether generated content meets quality bars.
Lead end-to-end ML development on these problems: research, model training, and evaluation.
Optimize generated content for member impact, treating content generation and audience targeting as coupled problems — drawing on recommendation systems thinking to ensure generated assets are optimized for the members they're meant to reach.
Partner with ML scientists and engineers to integrate models into business applications and platforms.
Translate complex technical concepts for both technical and non-technical stakeholders to inform strategic decisions.
Act as a subject matter expert, working cross-functionally to identify high-impact opportunities and define and execute roadmaps.
Engage with the ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand.
About you
Demonstrated habit of tracking the LLM/generative model literature and a knack for spotting which advances are relevant to real business problems.
Strong foundation in ML and Deep Learning, especially in Natural Language Processing / Understanding and Generation. Research experience in summarization or generated-text evaluation (e.g., LLM-as-judge methods) is a big plus; background in vision models such as diffusion models is a plus.
Expertise in one or more LLM post-training approaches.
Experience with recommendation systems, personalization, or other member-facing optimization systems is a strong plus.
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.
Inclusionis 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.
Originally posted on Himalayas
Senior Game Engineer, Gen AI - Games
Netflix
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.
We are seeking a Senior Game Engineer who is passionate about the next frontier of interactive storytelling and player agency. In this role, you won’t just be building models; you’ll be building experiences. You will leverage Generative AI to break traditional scripted boundaries, creating dynamic gameplay systems that respond to players in ways previously thought impossible.
Key Responsibilities
- Design-Led Engineering: Work elbow-to-elbow with Game Designers to prototype and ship AI-augmented gameplay.
- Player-Centric AI: Implement GenAI features that directly enhance the player experience, ensuring that AI-generated content feels intentional, high-quality, and - most importantly - fun.
- Core Systems Integration: Architect how GenAI hooks into core game systems (AI behavior trees, narrative engines, and world-building tools) to ensure seamless, low-latency performance.
- Guardrails & UX: Develop the "logic layer" that sits between raw AI outputs and the player, ensuring content remains on-theme, safe, and balanced within the game's mechanics.
- Rapid Gameplay Iteration: Use GenAI to accelerate the "find the fun" phase of development, building internal tools that allow for faster level blocking, asset variation, and playtesting loops.
- Technical Troubleshooting: Debug complex interactions where AI systems meet deterministic game logic, maintaining the stability of the live game environment.
Qualifications
- Gameplay Engineering Core: 5+ years of professional experience in game development. You have a deep understanding of game architecture, player controllers, and real-time systems.
- Applied GenAI Skills: Proven experience using LLMs or Diffusion models to solve specific product problems. You know how to prompt, fine-tune, and chain models to get predictable results in an unpredictable game world.
- Systems Thinker: You understand how a change in an AI's "personality" or "generation parameters" affects game balance and the overall player journey.
- Technical Proficiency: Expert-level C++ or C# (Unity/Unreal) and a grasp of Python for tooling and data pipelines.
- Passion for Innovation: You are excited by "impossible" design challenges and believe GenAI is the key to unlocking new genres of play.
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.
Inclusionis 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.
Originally posted on Himalayas
Software Engineer 6 - Ads Identity & Privacy
Netflix
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.
We launched a new ad-supported tierin November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.
Our Team
The Netflix Ads Identity and Audiences team is committed to providing a relevant and engaging advertising experience that prioritizes member privacy. Our mission is to maintain accurate member identities, ensuring that ads are both engaging and compliant with consumer privacy choices and regional regulations.
The Role
As a Privacy Software Engineer on the Ads Identity and Audiences team, you will play a crucial role in safeguarding Netflix member privacy across the Netflix Ads Suite. Your primary focus will be on designing and implementing privacy-preserving technologies that ensure ads are not only engaging but also fully respectful of consumer privacy choices and compliant with regional regulations.
In this dynamic and innovative environment, your contributions will have a significant impact on how we protect member data and privacy. You will collaborate with a team of talented professionals who are deeply passionate about technology and privacy, fostering a culture that values creativity, diversity, and continuous learning.
Skills & experience we’re seeking:
Professional experience in designing and building privacy features for ad platforms, with a focus on user data protection and compliance.
Strong understanding of data privacy, governance, and security concepts, including Privacy by Design principles.
Experience with implementing data privacy protections such as data minimization, encryption, and deidentification techniques.
In-depth knowledge of regional privacy regulations, e.g. GDPR (General Data Protection Regulation), CCPA (California Consumer Privacy Act), and CPRA (California Privacy Rights Act).
Proficiency in programming languages such as Java, Python, C++, or similar, with a strong grasp of software development principles and design patterns.
Experience in developing distributed cloud-based applications and proficiency in modern programming languages, preferably object-oriented.
Proven experience in handling data at extremely large volumes with big data tools like Spark, and building high throughput low latency distributed systems that utilized the big data.
Ability to thrive in a fast-paced, dynamic environment and effectively manage multiple priorities.
Knowledge of the ad tech and advertising landscape, including programmatic advertising and digital marketing trends.
Excellent communication, negotiation, and relationship-building skills, with the ability to work collaboratively with cross-functional teams.
Nice to haves:
Experience with Privacy Enhancing Technologies (PETs)
Experience integrating with Consent Management Platforms (CMPs)
Experience working in the CTV space and knowledge of its unique constraints.
Contribution to ad tech privacy industry groups (e.g. IAB Tech Lab).
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.
Originally posted on Himalayas
Analytics Engineer 5 - Cloud Games Infrastructure Data Products
Netflix
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 cloud games offering is an incredible opportunity to deliver new experiences that delight and entertain our growing membership. You will be joining us at an exciting time as we roll outmore games on our cloud serviceand be in a position to help us redefine what a Netflix subscription means for our members around the world.
Thisanalytics engineeringrole owns the datasets produced by the systems that power the cloud games experience, spanning areas such as the quality of experience (QoE) members have when they play and the capacity and utilization of the infrastructure that delivers it. This role will build the metrics, tooling, and data products that make this data trustworthy, discoverable, and self-service, and operationalize them across the business to drive prioritization of the highest-impact opportunities. You willjoin the teamof Analytics Engineers, Data Scientists, and Data Engineers who partner closely with the infrastructure engineering teams to turn telemetry into self-service data products that guide how the business invests in its cloud gaming infrastructure.
What you’ll do:
Partner closely with our engineering teams to develop deep expertise in how the cloud gaming infrastructure works, across both quality of experience and capacity and utilization, and understand how data, analytics, experimentation, and algorithms can drive improvements to its performance and how we invest in it.
Own the analytic data layer and the data products (pipelines, tables, dashboards, AI agents, tooling, and self-service assets) that turn our QoE framework and our capacity and utilization characterization into reliable insights for partners.
Work across the entire data stack, including telemetry extension and logging, data modeling, metrics development, visualization, and insights generation, to drive alignment of resources against the most important problems in this space.
Build toward self-service access rather than ad hoc delivery, and ensure what the team publishes is trustworthy, well-documented, and maintainable over time.
Independently identify and drive the highest-leverage investments across the cloud games infrastructure data domain.
You have:
Passion for solving real-world problems through analytics, tooling, and visualization, and an eye for independently identifying new, impactful analytic opportunities.
Expertise in SQL (Trino, Spark SQL), programming (e.g., Python), ETL, and data warehousing concepts at scale. Previous dbt experience as a bonus.
An appetite for learning and adopting AI capabilities as a means to supercharge your workflow, paired with the judgment to know when their output is trustworthy and explainable enough to act on.
Curiosity to pursue deep expertise in data science and engineering with a detailed understanding of distributed systems engineering and networking.
Experience developing pipelines of moderate complexity on massive telemetry data sets, with the ability to effectively partner with data engineering teams, building more scalable solutions for the most important use cases.
Strong judgment about where to invest, the discipline to keep sight of the bigger picture, and a bias toward durable, scalable capability over one-off outputs.
Experience building strong partnerships and communicating technical and analytical concepts clearly and concisely among audiences at many different levels.
Comfort with ambiguity and the ability to thrive with minimal oversight and process.
Embodied theNetflix valueswhile bringing a new perspective to continue improving our culture.
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.
Inclusionis 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.
Originally posted on Himalayas
Capacity Analyst (L5) - Fleet Planner
Netflix
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.
Netflix is looking for a planner to lead fleet planning and optimization for our global hardware infrastructure. In this role, you will own the end-to-end strategy for how Netflix acquires, deploys, and retires physical hardware assets — ensuring we have the right capacity, in the right place, at the right time, to power the world's leading streaming service.
You'll work at the intersection of engineering, finance, and supply chain, translating complex demand signals into actionable fleet strategies. This is a high-impact, high-visibility role that requires both deep analytical rigor and the ability to influence senior stakeholders across the organization.
About the Team
The Open Connect Infrastructure Capacity Planning team plays a central role in ensuring that our members and internal customers consistently enjoy a seamless experience, achieved through the timely deployment and ongoing management of Netflix’s owned infrastructure capacity. Our team is dedicated to the development of long-range capacity forecasts that are forward-looking, adaptable to rapidly evolving product needs, and focused on efficiency. We collaborate closely with a diverse range of cross-functional stakeholders to understand their current and future infrastructure requirements and make strategic recommendations around product implementation and design. Some of our team’s core responsibilities include:
Development of Long-Range Infrastructure Capacity Strategies:Create forward-looking strategies that inform long-term financial planning, network design, and near-term deployment and implementation decisions.
Effective Infrastructure Allocation: Convert demand forecasts across multiple products into clear, actionable capacity plans and strategic recommendations to drive investment decisions. Balance infrastructure availability across product types.
Data-Driven Analyses for Platform Optimization and Scalability: Conduct ongoing, data-driven analyses focused on optimizing efficiency, spend, and architectural direction while ensuring long-term platform scalability and resiliency.
Risk Assessment & Management: Identification of potential risks related to capacity shortages or excesses and development of mitigation strategies.
Infrastructure Performance Monitoring: Continuous tracking of infrastructure performance and utilization to identify bottlenecks or inefficiencies.
What You'll Do
Own the multi-year fleet refresh plan for Netflix's global hardware infrastructure, including servers, networking equipment, and storage systems, translating engineering roadmaps and business priorities into coherent long-term fleet plans.
Partner with Engineering, Finance, and Supply Chain teams to align fleet strategy with business priorities and budget constraints
Collaborate cross-functionally to define and track key fleet health metrics (utilization, age distribution, failure rates) to drive continuous optimization and life-cycle optimization
Lead hardware procurement planning in collaboration with Business Operations team, ensuring supply meets demand without over-provisioning
Identify opportunities to reduce total cost of ownership (TCO) through smarter fleet composition, lifecycle management, and decommissioning strategies, and build the business case for those changes.
Build and present fleet planning roadmaps and recommendations to senior leadership
Drive cross-functional alignment on fleet standards, refresh policies, and end-of-life decisions, ensuring consistency across engineering and infrastructure teams.
Act as a thought partner to engineering leads on how emerging hardware technologies and architectural changes should influence future fleet composition.
What you’ll bring to the role
5+ years of experience in capacity planning for data center or cloud platforms, or network planning.
5+ years of hands-on experience in data analysis and visualization, with proficiency in SQL, Python a plus.
Knowledge of — or strong curiosity about — the internet, or telecom ecosystem
Excellent verbal and written communication skills, with the ability to tailor messaging for both technical and executive audiences.
A track record of turning ambiguous, cross-functional problems into structured plans, even when the underlying data is incomplete.
Comfort operating independently while building consensus across teams that don't report to you.
Technical Program Management Experience is preferred
Proficiency in AI tools
Nice to Have
A degree in Management Information Systems, Management Consulting, Statistics, or a related quantitative field — or equivalent hands-on experience.
Technical Program Management experience, particularly in environments spanning engineering, finance, and operations.
Familiarity with hardware lifecycle management, procurement processes, or supply-chain planning.
Experience building financial or TCO models to support infrastructure investment decisions.
We know great candidates come from a range of backgrounds and paths, so if you don't check every box above but bring strong, relevant experience, we still encourage you to apply.
Why Join This Team
This is an opportunity to shape how Netflix plans and invests in the physical infrastructure that delivers streaming to hundreds of millions of members worldwide. You'll have visibility into decisions that carry real financial and operational weight, direct exposure to senior leadership, and the chance to build planning frameworks that will scale with Netflix's continued growth. If you enjoy working where data, strategy, and cross-functional influence meet, this role offers a rare amount of ownership over that intersection.
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 $300,000.00 - $520,000.00. 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.
Inclusionis 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.
Originally posted on Himalayas