Research Engineer 4/5 – AI for Member Systems

Netflix is a company dedicated to entertaining the world by pushing the boundaries of storytelling and technology. They are seeking a passionate Research Engineer to enhance their personalization systems through machine learning and software engineering, focusing on developing scalable solutions that improve member experiences.

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

Requirements:

• 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
• 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