AI Research Scientist - MSL FAIR Alignment

Meta; Seattle (WA); On-site; USD 180,000 - 260,000; Full time

Job summary

Meta in Seattle seeks AI Researchers to join the FAIR RAM team, pursuing curiosity-driven research in reasoning, memory, alignment, and agentic learning with industry-scale resources and open results.

The role blends pure research and research-to-product work, with opportunities to publish at top venues, collaborate across Meta's AI research ecosystems, and develop scalable methods for long-horizon RL and memory architectures.

Qualifications

• Define and drive research agendas in reasoning, memory, alignment, and agentic learning.
• Design and run large-scale experiments to test novel algorithmic ideas, including long-horizon RL, self-supervised objectives, and tool-using agents.
• Develop new methods for scalable alignment - self-alignment, self-improvement, and co-improvement loops that reduce dependence on human-annotated supervision.
• Invent and evaluate new memory architectures and techniques for models that reason over long contexts and extended horizons.
• Conduct cutting-edge fundamental AI research, publishing at top-tier venues, and contribute to the research community through reviewing, talks, and collaboration.
• Partner closely with other fundamental research teams in MSL, and research-to-product teams in other pillars.

Responsibilities

• Define and drive research agendas in reasoning, memory, alignment, and agentic learning.
• Design and run large-scale experiments to test novel algorithmic ideas, including long-horizon RL, self-supervised objectives, and tool-using agents.
• Develop new methods for scalable alignment - self-alignment, self-improvement, and co-improvement loops that reduce dependence on human-annotated supervision.
• Invent and evaluate new memory architectures and techniques for models that reason over long contexts and extended horizons.
• Conduct cutting-edge fundamental AI research, publishing at top-tier venues, and contribute to the research community through reviewing, talks, and collaboration.
• Partner closely with other fundamental research teams in MSL, and research-to-product teams in other pillars.

Job description

Summary:

Meta is seeking AI Researchers to join the FAIR RAM (Reasoning, Alignment, Memory) team, part of the FAIR pillar in Meta Superintelligence Labs. Our team pursues curiosity-driven research to develop learning algorithms with enhanced reasoning, memory, and alignment. Current projects span long-horizon reinforcement learning + agents, improved learning + self-supervised learning objectives, higher-level reasoning, new memory techniques, and scalable alignment methods including self-alignment, self-improvement, and co-improvement. Our team is a research-centric team working across both pure research and research-to-product (R2P). We conduct cutting-edge fundamental AI research with industry-scale resources, and we openly publish our results.

Required Skills:

AI Research Scientist - MSL FAIR Alignment Responsibilities:

1. Define and drive research agendas in reasoning, memory, alignment, and agentic learning.

2. Design and run large-scale experiments to test novel algorithmic ideas, including long-horizon RL, self-supervised objectives, and tool-using agents.

3. Develop new methods for scalable alignment - self-alignment, self-improvement, and co-improvement loops that reduce dependence on human-annotated supervision.

4. Invent and evaluate new memory architectures and techniques for models that reason over long contexts and extended horizons.

5. Conduct cutting-edge fundamental AI research, publishing at top-tier venues, and contribute to the research community through reviewing, talks, and collaboration.

6. Partner closely with other fundamental research teams in MSL, and research-to-product teams in other pillars.

Minimum Qualifications:

Minimum Qualifications: