Research Scientist/Engineer, L5/L6 – AI for Member Systems

Netflix

full-time

Posted on: 9/20/2025

Origin: • 🇺🇸 United States

✨ AI Apply

💰 $230,000 - $960,000 per year

Mid-LevelSenior

CloudDistributed SystemsHadoopJavaOpen SourcePythonPyTorchScalaSparkTensorflow

About the role

Drive applied research by conceptualizing, designing, implementing, and validating innovative algorithmic solutions
Explore and apply state-of-the-art AI/ML techniques including LLM pretraining, fine-tuning, and robust offline experimentation
Develop production-ready systems and scale machine learning solutions
Work on personalization, recommendations, search, content understanding, messaging, targeting, new member acquisition, and evidence
Collaborate within multi-disciplinary teams and communicate research results to stakeholders
Set priorities and maintain strong execution focus in a dynamic, fast-paced environment
Mentor or lead technical efforts and contribute to technical leadership when applicable

Ph. D or Masters in Computer Science or related fields
6+ years of research experience with a track record of delivering quality results
Deep expertise in machine learning, including supervised and unsupervised learning
Practical experience in LLM development, including pretraining, fine-tuning, and post-training techniques such as fine-tuning and distillation
Strong software engineering skills; Required: Python, TensorFlow, PyTorch
Nice to have: Java, Scala, Spark, Hive, Jax, Flink, Hadoop
Excellent interpersonal, written, and verbal communication skills
Preferred: Proven experience as a technical leader
Skilled in collaborating with cross-functional teams
Research publications in peer-reviewed journals and conferences on relevant topics (preferred)
Hands-on experience in distributed training, reinforcement-learning-based training of LLMs, conversational agents, and personalization (preferred)
Proficiency with cloud computing platforms and large web-scale distributed systems (preferred)
Applied research experience in industrial settings (preferred)
Contributions to open source (preferred)
Experience in one or more: search, natural language processing, knowledge graphs, conversational agents, personalization, reinforcement learning