AI Research Scientist, MRS Knowledge

What you'll do

• Design and run original ML research, experiments, and reusable research pipelines.
• Set research directions, evaluate results, and contribute to publications and open-source efforts.
• Collaborate with product and engineering teams, mentor colleagues, and improve evaluation frameworks and benchmarks.

What they ask for

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 6+ years of experience in machine learning research, including hands-on work with deep learning, optimization, generative models, or related core ML areas.
• Experience developing and publishing novel ML approaches at peer-reviewed venues; designing large-scale ML experiments; and applying core ML research to production systems.
• Experience communicating research findings and technical trade-offs, collaborating across research and engineering teams, and mentoring researchers or engineers.

Nice to have

• PhD in Machine Learning, Computer Science, Statistics, or a closely related field, with a dissertation focused on a core ML topic.
• High-impact publications or open-source contributions widely adopted or cited in the ML research community.

Pay

$154,000/year to $217,000/year (base salary)

Tools

PyTorch, TensorFlow

AI focus

Research in machine learning for recommendation systems, including deep learning, generative models, and related core ML areas; the team uses LLMs and generative AI for content understanding, user understanding, retrieval, and ranking.