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Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

The N-Tech Systems Engineering team at Netflix focuses on improving the employee experience, collaboration, and productivity of our global employees and support teams. As a centralized engineering team responsible for helping Netflix employees with how they work, we aim to remove friction, simplify workflows by increasing automation, and provide technical solutions so they can focus on bringing engaging stories to our members all over the world. This role will focus on engineering solutions for Active Directory, Microsoft Azure and Google Workspace products.
Key Responsibilities:

• As a member of the N-Tech Systems Engineering team, you will be responsible for developing tools and services that support Netflix’s Active Directory infrastructure.
• Implement and enforce security policies, access controls, and group memberships within Active Directory.
• You will establish the technical strategy and offer insights on the deployment of Microsoft Azure & Google Workspace products and services through collaboration with stakeholders and by understanding business use cases.
• You will be collaborating with cross-functional teams to design and implement solutions that meet the needs of our stakeholders and business.
• You’ll help maintain and document services owned by the team to ensure our runbooks and processes stay up to date.
• Participate in a weekly on-call rotation with the team, be responsible for answering operational questions during business hours, and be available during off-hours for emergency pages.
• Stay up to date on the latest trends and technologies of the N-Tech Systems Engineering service portfolio.

Qualifications:

• Systems Engineering experience supporting and operating Active Directory, Microsoft Azure, and Google Workspace in an Enterprise Environment.
• Strong background in designing scalable, reliable, and efficient systems. Including understanding trade-offs in system design, design for fault tolerance and recovery, and knowledge of best practices in distributed systems.
• MUST HAVE: Know one or more general-purpose programming languages including but not limited to Python, Javascript, or Go.
• Working knowledge utilizing APIs for integration/ETL automation.
• Ability to use well-established enterprise standards, processes, and procedures to ensure engineering projects are delivered in a timely fashion with high-quality work products.
• Ability to manage and maintain AWS infrastructure to support production systems.
• Understanding SDLC and project management frameworks agile, scrum and iterative.
• Exposure to directory services and cloud identity providers (Okta, Google, Azure AD/Entra ID).
• Well-versed in producing technical documentation that conveys the story of business impact.
• Production experience utilizing CI/CD for code deployment.

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 $100,000 - $720,000.

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 detail about our Benefits here.

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

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

Role location: Los Gatos, CA or Remote.

Netflix is one of the world’s leading streaming entertainment services, with over 270 million members in 190 countries enjoying 1000s of TV Shows, Movies and Games every month via a variety of subscription plans - from Ad supported entry level plans to Premium plans that provide best-in-class streaming experience.

The Growth & Commerce Data Science & Engineering team plays a critical role in driving and accelerating sustainable growth of Netflix members and revenue globally, by leveraging data, experimentation & machine learning to develop compelling and persuasive conversion and monetization experiences across the membership lifecycle - starting from the signup flow which is visited daily by millions of prospective members looking to find persuasive information about our service, to timely & relevant commerce experiences post-signup to optimize revenue per member.

As a Senior Research Engineer, you will join this team of stunning Data Scientists, Analytics Engineers and ML Scientists to lead the development of algorithmic & ML driven experience optimization systems

ML for Growth & Commerce experiences is a relatively greenfield area, with potential for several 0-1 applications that can drive millions of dollars of impact at Netflix’s scale. You will be responsible for operating, as well as innovating on, these algorithms in production, and validating through running offline experiments, and building online A/B tests to run in production systems. You’ll partner with other ML engineers, scientists and product managers on cross-functional ML initiatives. You’ll spot gaps in how we’ve done things before, and you’ll find a better way to do them. 

To be successful in this role, you’ll bring a solid machine learning background, strong software development skills, rapid learning velocity, a burning desire for impact and a passion for solving problems end-to-end. You will need to demonstrate strong communication and leadership skills, an ability to set priorities, and a strong bias to action in a dynamic environment.
In this role, you will:

• Design, implement and operate high impact machine learning models in Growth & Commerce
• Partner closely with cross-functional Growth leads and business analysts to identify high value applications of machine learning, translating business intuition into data-driven solutions
• Work closely with scientists and engineers on detailed requirements and implementation of end-to-end solutions at scale
• Inform and influence the development of better infrastructure for developing and deploying ML models
• Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management

What you’ll bring:

• Deep end-to-end ML experience with a strong track record of deploying successful ML solutions
• Exceptional communication skills, able to explain complex technical concepts clearly to cross-functional partners
• Ability to deal with ambiguity; a strong ownership mindset, and a desire to thrive on minimal oversight and process
• Willingness to learn and rapidly absorb business context in the complex payments ecosystem
• Strong experience in a ML/DL framework (e.g., scikit-learn, Keras, PyTorch, TensorFlow)
• Excellent software engineering skills in multi-language settings with Scala, Java, and Python
• PhD or Masters in Computer Science or related field preferred
• Experience with causal ML or reinforcement learning is a plus
• Experience with Growth, Notifications or other Targeting systems is a plus

What you’ll learn:

• Innovation and partnership on a global scale, navigating the balance of technical rigor with business requirements
• Incubating and scaling new areas of ML within a highly successful product

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 $170,000 - $720,000.

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 detail about our Benefits here.

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

Tags: ResearchSite

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

Role location: Los Gatos, CA or Remote.

At Netflix, we seek to entertain the world. We have more than 270 million members in 190 countries, reflecting that great stories can come from anywhere and be loved everywhere. Our payments teams across the world are a key part of this mission, continuously optimizing the set of payment methods that we offer in each country and investing in innovation to enable a seamless payments experience for our members. This focus on operational excellence makes it easy for customers to access Netflix and enjoy their next story without interruption.

Data is at the heart of our payments strategy and innovation at Netflix. In the Payments & Partnerships Data Science & Engineering team, we provide guidance to the business not only through analysis, metrics research, experimentation, causal inference, and modeling, but also through exceptional judgment, partnership, and business acumen. Our team’s portfolio includes production ML models that we maintain and innovate upon, as well as zero-to-one efforts in greenfield application spaces. These deeply collaborative, innovative efforts unlock millions of dollars of revenue impact each year.

As a Senior Research Scientist, you will join this team of stunning Data Scientists, Machine Learning Scientists, Research Scientists, and Analytics Engineers. You’ll lead the development of ML models that improve member experience and efficiency for billions of payments transactions each year and stop fraud in real time. You will be responsible for operating, as well as innovating on, these algorithms in production, and validating through running offline experiments, and building online A/B tests to run in production systems. You’ll partner with other ML researchers and engineers in Growth on cross-functional ML initiatives. You’ll spot gaps in how we’ve done things before, and you’ll find a better way to do them. 

To be successful in this role, you’ll bring a solid machine learning background, strong software development skills, rapid learning velocity, and a passion for solving problems end-to-end. You will need to demonstrate strong communication and leadership skills, an ability to set priorities, and a strong bias to action in a dynamic environment.
In this role, you will:

• Develop high impact machine learning models in Payments and Growth
• Partner closely with Payments leads and business analysts to identify high value applications of machine learning, translating business intuition into data-driven solutions
• Work closely with scientists and engineers on detailed requirements and implementation of end-to-end solutions at scale
• Inform and influence the development of better infrastructure for developing and deploying ML models, often via collaboration with our Machine Learning Platform team

What you’ll bring:

• Deep end-to-end ML experience with a strong track record of deploying successful ML solutions
• Exceptional communication skills, able to explain complex technical concepts clearly to cross-functional partners
• Exceptional thought partnership, able to own direct relationships with stakeholders and build credibility through clarity and judgment
• Willingness to learn and rapidly absorb business context in the complex payments ecosystem
• Strong experience in a ML/DL framework (e.g., scikit-learn, Keras, PyTorch, TensorFlow)
• Excellent software engineering skills in multi-language settings with Scala, Java, and Python
• PhD or Masters in Computer Science, Statistics, or related field is a plus
• Knowledge of payments is a plus

What you’ll learn:

• Innovation and partnership on a global scale, navigating the balance of technical rigor with business requirements

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 $170,000 - $720,000.

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 detail about our Benefits here.

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

Tags: ResearchSite

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

Senior Gameplay Engineer

The Senior Gameplay Engineer is responsible for the management, design, and implementation of game systems. You will provide technical mentorship and guidance for junior engineers, focusing on Linux-based environments.

Essential Functions/Responsibilities:

• Work on key gameplay and engine features independently or in a supervisory capacity over a small, cross-disciplinary team.
• Collaborate with Principal/Director level engineers to define technical specifications for large systems.
• Support project Lead. In their absence, fill in as needed for project meetings. Disseminate information and updates as appropriate and necessary.
• Partner with other engineers to develop tools and processes that improve efficiency and quality.
• Develop and update feature documentation, maintain a shared library of tech, and process documentation.
• Independently design and implement key systems and gameplay features.
• Demonstrate expertise/ownership in at least one major area of the codebase.
• Mentor, motivate, and inspire other engineers.
• Help guide or lead cross-disciplinary dialogs to drive features from initial concept to completion.
• Exemplify reliability, accountability, and professionalism in all work-related interactions.
• Partner with principal/director-level engineers to drive coding standards and best practices for the department and project team.
• Design, implement, and manage Linux-based systems and infrastructure.
• Optimize and troubleshoot Linux systems for performance and reliability.
• Ensure security best practices are followed for Linux systems.
• Serve as a liaison between Art and Engineering to efficiently facilitate art integration.
• Coordinate with game teams to ensure consistent standards and production methodologies across the studio.
• Work alongside the existing game team and code base to bring Netflix Stories to Linux platforms.
• Resolve any issues that arise with existing systems when running on Linux.

Skills and Abilities:

• Advanced programming skills within the relevant development environment(s).
• Ability to objectively evaluate code as part of a formal review process and effectively communicate opportunities for improved performance, resilience, and stability.
• Ability to coordinate and build effective partnerships within the engineering team and other development verticals.
• Demonstrated fundamentals of leadership, including clear and proactive communication and coordination, meeting moderation, and oversight of small cross-disciplinary initiatives.
• Able to manage multiple, competing tasks and be self-directed to meet deadlines in a quickly evolving environment.
• Positive attitude and ability to receive and provide objective and constructive feedback.
• Excellent organization skills.
• Advanced knowledge and experience with Linux operating systems and environments.
• Proficiency in Linux shell scripting and command-line tools.
• Experience with Linux-based application development, deployment, and maintenance.
• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.

Education and Experience:

• Computer Science, Mathematics, Engineering, or related degree, or equivalent work experience.
• 8 years experience in delivering production-level code in a professional environment.
• Experience shipping multiple successful game products into the marketplace.
• Experience supporting a live service.
• iOS and Android mobile development experience.
• Real-time strategy and Unity 3D game development experience.
• Thorough understanding of the software development life cycle, and practices.
• Experience with Jira, Confluence, or other defect-tracking software.
• Extensive experience with Linux operating systems in a professional environment.
• Previous experience in Linux system administration or engineering.

Position Type/Expected Hours of Work 
Our core hours are 10:00 am to 6:00 pm CST, which means you should be available for meetings etc. during this time frame.  

Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job duties.

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 $100,000-$600,000.

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 detail about our Benefits here.

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

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

At Netflix, our mission is to entertain the world by connecting our members to an extensive library of stories from all over the globe. We are revolutionizing international storytelling as we deliver billions of hours of movies and TV shows per month to 200+ million members across 190+ countries in 30+ languages. 

The Globalization 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 looking for an experienced Research Engineer with established track records in Multilingual Live Caption and Translation technologies to develop and productize algorithms that power high quality localization at scale. In this rare opportunity, you will have the chance to conduct cutting-edge Machine Learning research to help enhance localization and global entertainment at Netflix. You will partner with a talented cross-functional team of scientists, engineers, product managers, and domain experts to deliver business impact.

*Responsibilities*

• Research, develop and productize cutting-edge Multilingual Live Caption and Translation models
• Partner closely with other ML engineers and scientists to integrate work into business applications
• Act as domain expert and thought leader in identifying new research opportunities with significant business impact
• Present your research to all levels of the company clearly and concisely

*About you*

• Proven track record of conducting cutting-edge research in Multilingual Live Caption and Translation models, demonstrated by publications in top-tier conferences or journals
• MS or PhD in ML, Computer Science or related fields
• Familiarity with common ML and DL frameworks such as PyTorch or Tensorflow
• Exceptional communication and collaboration skills
• Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process
• Netflix culture resonates with you

Tags: ResearchSite

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 $170,000 - $720,000.

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 detail about our Benefits here.

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

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

At Netflix, our mission is to Entertain the World.  Over 270 million members around the globe enjoy our award-winning movies and TV shows, and much of our success still lies ahead. 

Growth Engineering at Netflix is responsible for driving the continued growth of Netflix’s subscriber base and increasing the value we derive from each member. Our work helps users to discover and sign up for Netflix, and maintain their Netflix service. We participate on cross-functional teams focused on acquisition, retention, plans and pricing, user identity, customer support, and more, and provide foundational systems powering all billing, payments processing, and the consumer web application platform at Netflix.

As an L7 Software Engineer reporting to the Senior Director of Growth Engineering, you will identify and solve highly complex problems that impact the entirety of our organization, understand systems and practices to inform and guide technical roadmaps for our teams, and provide technical leadership and mentorship to peers, stakeholders, and partners.
Responsibilities Include:

• Define and drive the technical and architectural direction for the totality of the depth and breadth of the systems owned and operated by Growth Engineering, balancing business and customer benefit, cost, and resilience.
• Provide both strategic and tactical oversight as we maintain, extend and modernize our current systems, and build new capabilities and platforms.
• Partner with senior engineering leadership and our most experienced (L7) engineers, inside of and beyond Growth Engineering, to solve our hardest technical challenges and have a material impact on the business.
• Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues, while helping managers guide the career growth of their team members.

Required Experience & Other Qualifications:

• 15+ years of professional software development experience as an individual contributor software engineer.
• Deeply technical, with demonstrated success in setting the technical direction for engineering projects and making architectural decisions, and with an aptitude for influencing others to embrace and align around solutions.
• Proven track record of designing, building, and supporting highly available and fault-tolerant systems in production.
• Expert understanding of the development of the full-stack consumer software products at scale; you may focus on client, mid-tier, distributed systems, or otherwise, but must have some familiarity with and capability to flex between these disciplines, and most importantly, deeply understand their interplay.
• Experience developing products that are A/B tested rigorously, and familiarity partnering with Data Science Engineering to help drive this experimentation efficiently and correctly.
• Exceptional collaboration and communication skills that enable effective work with cross-functional teams and stakeholders, technical and non-technical alike. Includes the ability to work with senior leadership to develop a long-term technical strategy and map business goals to appropriate technology investments.

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 $240,000 - $1,200,000.

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 detail about our Benefits here.

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

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

At Netflix, our mission is to entertain the world by connecting our members to an extensive library of amazing stories from all over the globe. We are revolutionizing storytelling as we deliver billions of hours of movies and TV shows per month to 260+ million members across 190+ countries. Developing data-driven algorithms and systems to help Netflix creators produce shows and movies in line with their vision is an important part of that mission.

The Digital Characters and Environments Algorithms team is at the forefront of innovation to enhance and support the vision of creators of movies and TV shows. This team's work is responsible for driving the efficiency of high end visual effects production, ultimately creating more joy for viewers all over the world.

We are looking for a software engineer with experience in the machine learning (ML) and computer graphics (CG) domains to design and develop the next generation of tools to be used by our visual effects studios.

In this role, you will:

• Design and develop tools that support artists' workflows by integrating GenAI models to expand creative opportunities.
• Collaborate cross-functionally with research scientists, engineers, product managers, as well as creative and business partners and stakeholders, to help define and prioritize requirements.
• Participate in algorithm development and propose scalable designs.
• Contribute to building the development infrastructure.
• Promote and facilitate software engineering best practices in the team.

About you:

• Industry experience of visual effects with practical knowledge tools such as Nuke, Houdini or Maya.
• Familiarity with concepts and workflows in ML and/or CG.
• Skilled in Python programming.
• Passion for turning ideas into great artist experiences.
• Excellent communication and people engagement skills.

Bonus experience:

• Knowledge of deep learning frameworks such as PyTorch and Tensorflow.
• Experience with models and tools for image/video generative AI.
• Experience with large-scale distributed data processing systems and cloud infrastructure.

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 $170.000- $720,000.

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 detail about our Benefits here.

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

Tags: ResearchSite

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

Netflix is one of the world's leading entertainment services with over 260 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

In April 2022, we introduced a new, more affordable, ad-supported tier for our customers, marking a significant milestone for Netflix. Our focus is now on expanding choices for consumers and providing advertisers with a premium TV brand experience that surpasses traditional linear formats. The challenge ahead involves scaling our ad tech to maximize its impact on our business.

*Our Team*

The Ads Platform Engineering teams build advertising systems and integrations that powers the delivery of ads using our world-class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server-side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them.

Our team is new and yet faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.

We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.

Experience & Skills:

We are seeking an ML engineer with experience in the following areas: 

• Productionize models to forecast ad inventory availability and performance. This includes predicting future inventory needs based on historical data, market trends, and seasonal variations.
• Productionized predictive models to forecast the effectiveness of advertising campaigns, including metrics like clicks, impressions, conversions, and ROI.
• Bringing complex models to life in low-latency real-time advertising environments
• Building Scalable Simulation solution to model different inventory scenarios, including demand fluctuations, pricing strategies, and inventory allocation.
• Budgeting and Pacing systems, models, and algorithms
• Applying Modeling and machine learning techniques for business problems at the intersection of product, data science, and engineering
• Collaborate with cross-functional stakeholders from science team, product, engineering, operations, design, consumer research, etc., to productionize and deploy models at scale

Nice to Haves:

• Publisher-side ad tech systems including ad servers, bidders, yield optimizers, and their demand-side counterparts (SSPs/DSPs)
• Yield Optimization, scoring, and bid ranking models and Dynamic Allocation of direct/programmatic guaranteed and non-guaranteed inventory
• Contributed to an ads industry technology standard (e.g  VAST, OpenRTB) or worked on an industry consortium effort, or working group.
• Familiarity with legal compliance and the changing landscape of ad regulations around the world.
• Experience working in the CTV space and knowledge of its unique constraints

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 $100,000 - $720,000.

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 detail about our Benefits here.

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

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

Our mission at Netflix is to connect global stories with global audiences. When a Netflix member opens our app, we have a few precious moments to help them choose a story that is right for them at that instance. Presenting them evidence – Artwork, Trailers, Synopses – that authentically represents each title and resonates with the member is essential to this effort.

Getting this evidence just right for each title is a tall order but our creative strategists, art designers, and video editors are masters of this. Perhaps a more unique aspect of Netflix is that these teams deeply leverage data to inform their decision making as they go about creative tasks like designing artwork & cutting trailers or clips. This is made possible because Netflix UI is a thriving learning machine where Artwork & Video assets are personalized via reinforcement learning. 

We’re looking for a Senior Analytics Engineer based in the United states. In this role, you would serve as a trusted partner for Creative Production leadership. Given this data & insights rich landscape, we are looking for a highly motivated Senior Analytics Engineer to partner with business teams and product managers to empower how we create Artwork and Trailers. This is an opportunity for you to have direct influence on strategic decisions through technical and business thought partnership that will ultimately shape promotional content.

*As a Senior Analytics Engineer in this space, you will…*

• Be a strategic partner for Studio & Creative Production teams: identify critical analytical problems and apply an entrepreneurial mindset to find innovative solutions with data
• Drive the direction of your work, developing solutions that span from scrappy code and prototype tools to high-visibility dashboards and analyses for Studio & Creative Production leadership
• Spearhead the creation of new metrics that impact decision-making
• Collaborate with Data Scientists & Data Engineers to source data from new systems and strengthen our foundational data models

*You are…*

• A strong communicator who can develop and deepen strong relationships with a wide variety of stakeholders. You have experience partnering closely with executive leadership, with a proven track record of influencing strategic decisions through data.
• Comfortable with ambiguity; able to thrive with minimal oversight and process. You connect the dots across business needs and independently drive projects forward.
• A senior analytics professional with extensive experience across data wrangling, analysis, reporting, and visualization.
• An expert in a data-oriented programming language (e.g. SQL, Python, R, Scala, etc.) and intuitive dashboard/visualization design (e.g. Tableau)
• Proficient in ETL and data warehousing best practices and core statistics concepts (e.g. hypothesis testing)
• Adept at working across different cultures on a globally-distributed team, with core working hours in the Central European and GMT time zones

Links:

• Netflix Research site
• Our culture

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 $100,000 - $720,000. 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 detail about our Benefits here. Netflix is a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

The data platform teams at Netflix enable us to leverage data to bring joy to our members in many different ways. We provide centralized data platforms and tools for various business functions at Netflix, so they can utilize our data to make critical data-driven decisions. We do all the heavy lifting to make it easy for our business partners to work with data efficiently, securely, and responsibly. We aspire to lead the industry standard in building a world-class data infrastructure, as Netflix leads the way to be the most popular and pervasive destination for global internet entertainment.

We are looking for Distributed Systems Engineers to help evolve and innovate our infrastructure. We are committed to building a diverse and inclusive team to bring new perspectives as we solve the next set of challenges. In addition, we are open to remote candidates. We value what you can do, from anywhere in the U.S.

Spotlight on Data Platform Teams:

Data Platform Infrastructure |Learn More

The Data Platform Infrastructure team acts as a platform for our own data platforms. Our shared infrastructure and tooling enable Netflix to innovate quickly in providing state-of-the-art data and analytics systems to the rest of the company without building bespoke scaffolding for each new system. To do this, we create high-leverage infrastructure, control, and deployment systems that are fine-tuned for running our data systems at scale.

The team plays an essential role in making it easy and efficient to use the Netflix platform and security products for building the data platform; uniquely, many of our tools and systems are written in Python, so this is a great team to consider if you enjoy working in a variety of languages.

This would be your dream job if you enjoy:

• Solving real business needs at a large scale by applying your software engineering and analytical problem-solving skills.
• Architecting and building a robust, scalable, and highly available distributed infrastructure.
• Leading cross-functional initiatives and collaborating with engineers, product managers, and TPM across teams.
• Sharing our experiences with the open source communities and contributing to Netflix OSS.

About you:

• 7+ years experience in crafting complex, scalable distributed data infrastructure
• Proficiency in Java, C++, Golang, or Python with a solid understanding of multi-threading and memory management
• Proven track record of developing and maintaining high-impact systems
• Experience building and operating scalable, fault-tolerant, distributed systems
• You have a BS in Computer Science or a related field
• Familiarity with library development, DI frameworks (preferably SpringBoot), and container technologies

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!

At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.

The overall market range for roles in this area of Netflix is typically $100,000 - $700,000

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Our culture is unique, and we tend to live by our values, so it’s worth learning more about Netflix here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.