Memory & Personalization RL Research Scientist

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

the company is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of AI and seek to safely deploy it through our products, with safety and human needs at its core.

We are an equal opportunity employer and provide relocation assistance for this San Francisco based role, with a hybrid work model and opportunities to transform research into product impact.

Qualifications

• Background in reinforcement learning research.
• Ability to iterate quickly and translate research into product impact.
• Experience with designing evaluations and working in large ML codebases.

Responsibilities

• Own and pursue a research agenda for improving long-horizon memory and personalization in frontier models.
• Build robust evaluations for tracking modeling improvements.
• Design, implement, test, and debug code across our research stack.
• Collaborate closely with the research and product teams to influence the shape of technical solutions in the product.

Skills

Reinforcement learning

Job description

the company is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of AI and seek to safely deploy it through our products, with safety and human needs at its core.

We are an equal opportunity employer and provide relocation assistance for this San Francisco based role, with a hybrid work model and opportunities to transform research into product impact.