Machine Learning Engineer
Description For Machine Learning Engineer
Netflix is seeking a Machine Learning Engineer to join their Algorithms Engineering group, focusing on enhancing personalization systems and algorithms. This role combines advanced machine learning expertise with software engineering to power Netflix's global entertainment platform. The position involves working with cutting-edge ML technologies, including recommendations, personalization, and large language models, while collaborating with cross-functional teams of researchers, engineers, and data scientists.
The role requires a strong background in both theoretical and practical machine learning, with candidates expected to have 5+ years of industrial experience and advanced degrees in relevant fields. You'll be responsible for developing scalable ML solutions that directly impact Netflix's 200M+ global subscribers, working on everything from initial concept to production deployment.
Netflix offers a unique compensation structure with flexible salary-to-stock options ratio, comprehensive benefits, and a culture of innovation. The position is based in Los Gatos, California, at Netflix's headquarters, offering an opportunity to work with some of the best minds in the streaming entertainment industry. The company's commitment to continuous learning and cutting-edge technology makes this an ideal role for someone passionate about applying ML at scale.
The role combines technical expertise with business impact, as you'll be working on systems that directly influence how millions of users discover and enjoy content. Netflix's strong engineering culture, coupled with its significant investment in machine learning infrastructure, provides an excellent environment for professional growth and impact.
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, transformers, LLMs, or RLHF
- 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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