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Netflix is the world's leading streaming entertainment service with over 195 million paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages.
Netflix is one of the world's leading entertainment services, with over 300 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 Studio Media Algorithms team is at the forefront of innovation to enhance and support the vision of creators of movies, TV shows, and other modes of entertainment. This team's work is responsible for increasing member value and driving efficiency of the content creation process, ultimately creating more joy for viewers all over the world.
We are seeking early-career talent with demonstrated academic or industry research experience in generative and reconstructive image and video models, such as Diffusion Models and Gaussian Splats, with applications in areas like improving the quality of video content.
Design and develop machine learning models that enhance the quality of images and videos using techniques such as super-resolution, detail generation, and SDR-to-HDR conversion.
Stay on top of academic research in video-quality space, and find innovative ways to further the state-of-the-art while keeping the goals of the use-cases central to the research.
Collaborate with interdisciplinary teams, including data scientists, engineers, product managers, and creative professionals, to align machine learning solutions with studio needs and creative goals.
Drive the deployment and optimization of ML models in production environments, ensuring robust performance and scalability.
Inform and advocate for the building of the right infrastructure pieces needed to scale media search systems.
Demonstrated experience in Machine Learning research with a track record of academic publications, and a passion for furthering state-of-the-art research.
Deep understanding of generative and reconstructive technologies such as Diffusion models, Gaussian Splatting, Super-Resolution, SDR to HDR, etc.
A passion for image and video processing, computational photography, color-science, and adjacent fields.
Proficient in programming languages such as Python, with experience in ML frameworks like PyTorch.
Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary environment.
Experience with cloud-based ML deployment and large-scale data processing systems - for example, Dockerization!
Deeper knowledge of color science and ACES Color Standards.
Familiarity with the content creation process, including media production and post-production workflows.
Working knowledge of media-production adjacent tools such as AVID, Davinci-Resolve, etc.
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 $150,000 - $750,000.
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 diversitybuilds 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.
Full Time
Salary: 150k-750k USD
Learn more about Netflix and their company culture.
Netflix is the world's leading streaming entertainment service with over 195 million paid memberships in over 190 countries 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, on any internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.
A great workplace combines exceptional colleagues and hard problems.
Our core philosophy is people over process. Our culture has been instrumental to our success and has helped us attract and retain stunning colleagues, making work here more satisfying.
Our first original series debuted in 2013. Over the following decades, Internet TV will replace linear, and we hope to keep leading by offering an amazing entertainment experience.
Learn about the tools and technologies that Netflix uses to build, market, and sell its products.
Employees can create an account to update this tech stack.
Learn about the employee benefits and perks provided at Netflix.
Medical, dental, and vision insurance.
Our vacation policy is “take vacation” and we actually do. Frankly, we intermix work and personal time quite a bit. Time away works differently at Netflix.
We recognize that one of the most special events in an individual's life is the birth or adoption of a child. Our parental leave policy is: "take care of your baby and yourself." New parents generally take 4 - 8 months.
When it comes to your work schedule, commuting doesn’t always sync up and rush hour can be stressful. Work, not drive partners with a rideshare service that provides you the flexibility and focus on work while you commute.
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