Machine Learning Engineer
Description For Machine Learning Engineer
Netflix, a global entertainment powerhouse with 283 million paid memberships across 190+ countries, is seeking a Machine Learning Engineer to join their Algorithms team. This role presents an exciting opportunity to shape the future of content personalization and recommendation systems at scale. The position combines cutting-edge machine learning with practical software engineering to enhance the Netflix viewing experience for millions of users worldwide.
The ideal candidate will work at the intersection of research and implementation, taking ML algorithms from conception to production in Netflix's sophisticated real-time systems. You'll collaborate with cross-functional teams to develop and optimize machine learning solutions that directly impact user experience and business metrics. The role requires expertise in both theoretical ML concepts and practical software engineering, with opportunities to work on recommendations, personalization, and large language models.
This is an exceptional opportunity for someone passionate about applying ML at scale, offering competitive compensation ($100,000-$720,000), comprehensive benefits, and the chance to work with world-class talent. Netflix's unique culture emphasizes freedom and responsibility, allowing you to make significant impacts while working on challenging problems in content personalization and recommendation systems.
The position offers remote work flexibility, comprehensive benefits including health plans and mental health support, and Netflix's renowned flexible time off policy. You'll be part of a team that values innovation, inclusion, and continuous learning, with opportunities to contribute to open-source projects and stay at the forefront of ML advancements.
Responsibilities For Machine Learning Engineer
- Collaborate with cross-functional teams to develop and implement machine learning algorithms
- Create scalable, production-ready ML solutions
- Optimize performance and scalability of machine learning models
- Design and conduct offline experiments and A/B tests
- Contribute to ML infrastructure and tooling improvement
- Engage in continuous learning and development
Requirements For Machine Learning Engineer
- 5+ years of experience in applying machine learning in an industrial setting
- PhD or Masters in Computer Science, Statistics, or related field
- Expertise in machine learning algorithms and frameworks
- Excellent software design and development skills in Python along with Scala, Java, C++, or C#
- Experience in Recommendations, Personalization, Long-term Reward Modeling, Bandits, Transformers, Large-Scale Language Models
- Great interpersonal skills including strong written and verbal communication
Benefits For Machine Learning Engineer
- Health Plans
- Mental Health support
- 401(k) Retirement Plan with employer match
- Stock Option Program
- Disability Programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and Serious Injury Benefits
- 35 days annually for paid time off (hourly employees)
- Flexible time off (salaried employees)
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