Netflix · 6 hours ago
Research Engineer 5 – AI for Member Systems
United States
Full-time
Remote
Senior Level
$100K/yr - $720K/yr
5+ years expNetflix is one of the world's leading entertainment services, and they are seeking a passionate and talented Research Engineer to join their AI for Member Systems team. In this role, you will leverage machine learning and software engineering expertise to design, develop, and scale solutions that enhance the Netflix experience for members.
Digital EntertainmentMedia and EntertainmentTVVideo Streaming
Responsibilities
Collaborate with cross-functional teams, including researchers, engineers, data scientists, and product managers, to develop and implement machine learning algorithms that improve personalization, recommendations, and member experiences
Create scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment in Netflix's large-scale, real-time systems
Optimize the performance and scalability of machine learning models, ensuring they can handle the diverse tastes and behaviors of our global member base
Design and conduct offline experiments and A/B tests to validate the impact of algorithmic changes on key business metrics
Contribute to the ongoing improvement of our ML infrastructure and tooling, ensuring that we stay at the cutting edge of industry practices
Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering
Qualification
Required
5+ years of experience in applying machine learning in an industrial setting, with a track record of delivering impactful results
PhD or Masters in Computer Science, Statistics, or a related field
Expertise in machine learning algorithms and frameworks, with hands-on experience in training, tuning, and deploying models in production environments
Excellent software design and development skills in Python along with Scala, Java, C++, or C#
Experience in one or more of the following applied fields: Recommendations, Personalization, Long-term Reward Modeling, Bandits, Transformers, Large-Scale Language Models, LLM evaluation, RLHF reward modeling/alignment
Great interpersonal skills including strong written and verbal communication
Preferred
Experience building or enhancing personalization systems, search engines, or similar large-scale machine learning applications
Background in neural networks, natural language processing, or causal inference
Contributions to open-source projects in machine learning or related fields
Experience working with cross functional teams
Company
Netflix
Netflix is an online streaming platform that enables users to watch TV shows and movies.
10001+ employees
H1B Sponsorship
Netflix has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (310)
2024 (309)
2023 (191)
2022 (261)
2021 (268)
2020 (225)
Funding
Current Stage
Public CompanyTotal Funding
$72.11BKey Investors
Wells FargoTCVGroupe Arnault
2025-12-05Post Ipo Debt· $67.2B
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M
Leadership Team
Gregory Peters
Co-CEO
Ted Sarandos
Co-CEO
Recent News
2026-01-23
Company data provided by crunchbase