Research Scientist
4 weeks ago
We are seeking a highly skilled Senior Research Engineer to join our team at Netflix. As a Senior Research Engineer, you will play a key role in supporting the vision, strategies, and development of new systems that provide intelligence about our consumers.
You will join a team of talented Data Scientists and ML Researchers to drive and build algorithmic & ML systems to improve how we identify "who is behind the screen." Your responsibilities will include building, scaling, and innovating on these algorithms in production.
You will partner with other ML engineers and scientists to implement these algorithms in ways that meet the needs of stakeholders across the business - with potential applications ranging from our core recommendation team, to ads personalization, to video content valuation.
To be successful in this role, you will bring a solid machine learning background, strong software development skills, rapid learning velocity, a burning desire for impact, and a passion for solving challenging 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 an open-ended, dynamic environment.
Key Responsibilities- Design, implement, and operate high-impact machine learning models in our Virtual Identity space
- Partner closely with a small pod of researchers and data scientists to identify high-value applications of machine learning
- 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
- Cultivate strong partnerships with cross-functional partners across the business
- 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 a 0-1 space that needs to interact with stakeholders across the business
- Strong experience in a ML/DL framework (e.g., PyTorch, Keras, TensorFlow)
- Excellent software engineering skills in multi-language settings leveraging Python and large-scale data processing with Spark (e.g. PySpark, SparkSQL, and/or Scala)
- PhD or Masters in Computer Science or related field preferred
- Experience with NLP/sequence modeling/recommender systems or related experience
- A passion for driving and influencing product strategies in a fast-paced, cross-functional environment
We offer a comprehensive benefits package, 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.
About NetflixNetflix 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.
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.
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