Research Scientist 5 - Content Promotion and Distribution [Remote]
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.
At Netflix, our mission is to connect global stories with audiences worldwide. When a Netflix member opens our app, we have a few precious moments to help them choose a story or a game that is right for them at that instance. Presenting them evidence (e.g. Artwork, Trailers, Synopses) that authentically represents each title and resonates with the member is essential to this effort.
The Promotional Assets & Creative Technology DSE team is at the forefront of Netflix's efforts to effectively promote titles and enhance the content discovery experience. Our team partners closely with Netflix's world-class creative designer teams to amplify and scale promotional media assets for our members. We are looking for a seasoned applied Research Scientist to design and develop innovative AI/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 diverse media types are promoted on Netflix and discovered by our members.
Responsibilities
• Lead the end-to-end process of AI/ML development and deployment spanning research, model training, offline and online evaluation, and large-scale productization
• Partner closely with other research scientists and engineers to effectively integrate models into business applications and platforms
• Serve as a cross-functional subject matter expert to surface high-impact opportunities, define roadmaps, and prioritize research investments; drive execution with engineering, product, and creative teams.
• Communicate complex concepts with both technical and non-technical stakeholders to influence strategic decisions
• Advance the state of the art and deliver innovations that enhance content discovery experience of our members.
• Engage with the ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand
About You
• Strong AI/ML foundations with hands-on experience training, evaluating, and deploying vision-language models and multimodal LLM systems.
• Demonstrated research impact in computer vision and multimodal learning, evidenced by publications at top-tier conferences and journals.
• Strong programming skills in Python and experience with common ML frameworks such as PyTorch or Tensorflow.
• MS or PhD in ML, Computer Science or related fields.
• Proven track record of bringing clarity and leading ambitious roadmaps to solve complex problems.
• Exceptional communication and collaboration skills, and passionate about positively contributing to the team and company culture.
• Comfortable with ambiguity, able to take ownership, and thrive with minimal oversight and process.
Bonus Points
• Experience in building agentic workflows and systems for multimodal search and understanding is a big plus.
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here .
Netflix is a unique culture and environment. Learn more here .
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.
Note: Posting is subject to change so please refer to career site for latest availability (SBJ-G337).
Apply tot his job
Apply To this Job
At Netflix, our mission is to connect global stories with audiences worldwide. When a Netflix member opens our app, we have a few precious moments to help them choose a story or a game that is right for them at that instance. Presenting them evidence (e.g. Artwork, Trailers, Synopses) that authentically represents each title and resonates with the member is essential to this effort.
The Promotional Assets & Creative Technology DSE team is at the forefront of Netflix's efforts to effectively promote titles and enhance the content discovery experience. Our team partners closely with Netflix's world-class creative designer teams to amplify and scale promotional media assets for our members. We are looking for a seasoned applied Research Scientist to design and develop innovative AI/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 diverse media types are promoted on Netflix and discovered by our members.
Responsibilities
• Lead the end-to-end process of AI/ML development and deployment spanning research, model training, offline and online evaluation, and large-scale productization
• Partner closely with other research scientists and engineers to effectively integrate models into business applications and platforms
• Serve as a cross-functional subject matter expert to surface high-impact opportunities, define roadmaps, and prioritize research investments; drive execution with engineering, product, and creative teams.
• Communicate complex concepts with both technical and non-technical stakeholders to influence strategic decisions
• Advance the state of the art and deliver innovations that enhance content discovery experience of our members.
• Engage with the ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand
About You
• Strong AI/ML foundations with hands-on experience training, evaluating, and deploying vision-language models and multimodal LLM systems.
• Demonstrated research impact in computer vision and multimodal learning, evidenced by publications at top-tier conferences and journals.
• Strong programming skills in Python and experience with common ML frameworks such as PyTorch or Tensorflow.
• MS or PhD in ML, Computer Science or related fields.
• Proven track record of bringing clarity and leading ambitious roadmaps to solve complex problems.
• Exceptional communication and collaboration skills, and passionate about positively contributing to the team and company culture.
• Comfortable with ambiguity, able to take ownership, and thrive with minimal oversight and process.
Bonus Points
• Experience in building agentic workflows and systems for multimodal search and understanding is a big plus.
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here .
Netflix is a unique culture and environment. Learn more here .
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.
Note: Posting is subject to change so please refer to career site for latest availability (SBJ-G337).
Apply tot his job
Apply To this Job