Job description

As a machine learning engineer on the team, you will help lay the foundation that allows the team to accelerate and therefore more effectively scale its impact. Independently deliver effective solutions to problems. Own full-stack technology, from data to product and the feedback loop. Synthesize common patterns & build effective abstractions across different ML pipelines that accelerate the impact of ML driven insights. Develop horizontal solutions to Increase robustness of the team’s ML model portfolio. Partner with the Data Engineering & ML Infrastructure teams in a two-way exchange of best practices. Communicate results to a variety of audiences, technical and non-technical.

Netflix is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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Responsibilities

• As a machine learning engineer on the team, you will help lay the foundation that allows the team to accelerate and therefore more effectively scale its impact
• Independently deliver effective solutions to problems
• Own full-stack technology, from data to product and the feedback loop
• Synthesize common patterns & build effective abstractions across different ML pipelines that accelerate the impact of ML driven insights
• Develop horizontal solutions to Increase robustness of the team’s ML model portfolio
• Partner with the Data Engineering & ML Infrastructure teams in a two-way exchange of best practices
• Communicate results to a variety of audiences, technical and non-technical