Research Scientist, Multimodal AI & Contextual Agents

Meta; Redmond (WA); On-site; USD 219,000 - 301,000; Full time

Job summary

Meta is seeking a Research Scientist to advance foundational machine learning research that powers products used by billions of people worldwide.

In this role, you will identify and solve the hardest open problems in core ML — spanning multimodal learning, foundation models, large-scale model training, efficient inference, and agentic systems — and translate breakthrough research into systems that fundamentally improve Meta's products and platforms.

Qualifications

• PhD in CS, AI, ML, or related field with 12+ years of relevant experience.
• Breadth across multimodal learning, foundation models, efficient AI systems.
• Experience turning research into shipped products and platforms.
• Experience with Python and PyTorch or JAX.

Responsibilities

• Define and drive a multi-year research strategy for core ML.
• Lead high-risk research bets from problem formulation to validation.
• Develop novel ML algorithms and architectures for large-scale tasks.
• Advance efficient training and inference with model compression and co-design.
• Establish datasets, benchmarks, and research platforms.
• Mentor researchers and engineers and publish influential work.
• Collaborate with legal, policy, and compliance teams on responsible AI.

Skills

Multimodal learning

Foundation models

Large-scale training

Reinforcement learning

Long-context reasoning

Retrieval

Tool use

PyTorch

JAX

Education

PhD in CS/AI/ML or related field

Bachelor's in CS or related field

Tools

PyTorch

JAX

Job description

Meta is seeking a Research Scientist to advance foundational machine learning research that powers products used by billions of people worldwide.

In this role, you will identify and solve the hardest open problems in core ML — spanning multimodal learning, foundation models, large-scale model training, efficient inference, and agentic systems — and translate breakthrough research into systems that fundamentally improve Meta's products and platforms.