Research Scientist 5/6 – AI for Member Systems

🕒 June 27

🇺🇸 United States – Remote

💵 $466k - $750k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧬 Research Scientist

👻 Ghost score 9%

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• 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 • Collaborate within multi-disciplinary teams • Set priorities and maintain a strong execution focus in a dynamic, fast-paced environment

🎯 Requirements

• Ph. D or Masters in Computer Science, or any of the related fields • 6+ years of research experience with a track record of delivering quality results • Deep expertise in machine learning, including both supervised and unsupervised learning, and practical experience in LLM development • Demonstrated success in applying LLMs and other Foundation Models to real-world challenges, preferably with experience in post-training LLMs, including 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, but not required: Proven experience as a technical leader • Skilled in collaborating with cross-functional teams • Research publications in peer-reviewed journals and conferences on relevant topics • Hands-on experience in distributed training, reinforcement learning-based training of LLMs, conversational agents, and Personalization • Proficiency with cloud computing platforms and large web-scale distributed systems • Applied research experience in industrial settings • Contributions to open source contributions • Experience in one or more of the following areas: search, natural language processing, knowledge graphs, conversational agents, personalization, and reinforcement learning

🏖️ Benefits

• 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 • Paid leave of absence programs • Full-time hourly employees accrue 35 days annually for paid time off