Stay safe on Himalayas
Never send money to companies. Jobs on Himalayas will never require payment from applicants.
Please let Netflix know you found this job on Himalayas. This helps us grow!
Learn more about the company and their company culture.
Learn about the employee benefits and perks provided at the company.
Company employees can update this section.
Here are other jobs you might want to apply for.
NENetflix 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.
At Netflix, we seek to entertain the world. We launch thousands of new TV shows and movies every year for our members across the globe. To do so, we need to understand which shows to launch, when to launch, and for which audiences over the next months, quarters, and years to delight our current and future members.
The Content & Conversation Modeling team delivers high-leverage ML solutions using Netflix’s unique media data, driving decisions across content strategy, acquisition, scheduling, and advertising. Our models are used to predict engagement, forecast title performance, assess catalog strength, and so much more. We are looking for an experienced machine learning engineer to develop, optimize, and deploy scalable ML solutions that power content decisions at Netflix.
Own and innovate upon ML models that predict how members engage with our content slate and future launching titles, helping inform a range of decisions across the content, studio, and advertising domains.
Design, build, and deploy robust ML systems which scale to handle Netflix-sized data.
Automate ML workflows for training, tuning, and deployment; enabling faster experimentation and productization.
Optimize model performance and inference efficiency, ensuring scalability in high-throughput distributed environments.
Improve ML observability, model evaluations, model monitoring, and debugging tools to ensure reliability of deployed models.
Collaborate with scientists, data engineers, and infrastructure teams to define project roadmaps, ensure alignment of goals, and drive integration with downstream applications.
Transform research prototypes into high-quality production code, ensuring systems are maintainable, scalable, and performant.
Stay up to date with ML infrastructure advancements, identifying new technologies and best practices to enhance efficiency.
You have a strong foundation in machine learning, including supervised and unsupervised learning, and deep learning architectures (e.g. recommendations, forecasting).
You have a track record of deploying ML systems at scale, particularly in distributed training environments and high-performance inference.
You have hands-on experience evaluating and monitoring machine learning systems in production.
You have a strong understanding of feature engineering, data pipelines, and model lifecycle management for large-scale data processing problems using tools like Spark.
You hold an advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on machine learning or artificial intelligence.
You have at least 5 years of relevant industry experience designing and implementing ML solutions.
You are proficient in Python and have experience with ML/DL frameworks such as PyTorch, MetaFlow, or Jax.
You excel at complex problem solving with innovative solutions, developing novel algorithms, and adapting existing methods from literature to new challenges.
You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical partners.
You demonstrate Netflix values and bring new perspectives to continue improving 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$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
United States +/- 0 hoursLearn 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.
NE5000+ employees
1997
Reed Hastings
FRUnited States onlyEmployee count: 501-1000
Salary: 162k-247k USD
BLUnited States onlyEmployee count: 5000+
Salary: 229k-343k USD
Explore the variety of open remote roles at Netflix, offering flexible work options across multiple disciplines and skill levels.
NEUnited States onlyEmployee count: 5000+
Salary: 240k-725k USD
NEUnited States onlyEmployee count: 5000+
Salary: 150k-750k USD
NEUnited States onlyEmployee count: 5000+
Salary: 100k-720k USD
NEUnited States onlyEmployee count: 5000+
Salary: 150k-750k USD
Find your next opportunity by exploring profiles of companies that are similar to Netflix. Compare culture, benefits, and job openings on Himalayas.
Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!
SP
PL
AMFind your next opportunity by exploring profiles of companies that are similar to Netflix. Compare culture, benefits, and job openings on Himalayas.
Our mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.
Plex streams thousands of movies and TV shows from filmmakers around the globe.
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking.
Connecting movie fans with their favourite content worldwide!
Crunchyroll champions the art and culture of Anime to a passionate community of fans around the world.
Stream powers chat messaging, video & audio, and activity feeds for billions of global end-users across thousands of different apps.
Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!
United States onlyJoin the remote work revolution
Join over 100,000 job seekers who get tailored alerts and access to top recruiters.
Australia
Japan
France
Mexico
Germany
Netherlands
Philippines
Singapore
Spain
Taiwan
India
United Kingdom
