RL Systems Scientist — Build Long-Horizon Agents

Rnb Consultancy; San Francisco (CA); On-site; USD 250,000 - 500,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Rnb Consultancy in San Francisco is hiring a brand-new AI lab focused on autonomous agents that pursue long-horizon goals. You will own ambitious bets from the first hypothesis and dataset through deployment, shaping the research agenda from day one.

The team values exceptional ML research and engineering talent with a track record of leading significant projects, and offers a chance to ship real-world results in a frontier research environment.

Qualifications

• Exceptional ML research and engineering skills.
• Depth in RL, LLM post-training, reasoning, agents, or long-horizon systems.
• Ability to build complete systems from hypothesis to production.
• Led a significant model, agent system, benchmark, paper, or open-source project.

Responsibilities

• Use RL and other methods to post-train LLM-based and multimodal agents.
• Develop long-horizon capabilities: planning, memory, error recovery, proactivity, self-improvement.
• Build environments where agents use computers and tools, plus data pipelines, benchmarks and evals.
• Enable agents to understand user intent and stay true to it over long runs.
• Design careful experiments and transfer results to production.

Skills

Reinforcement Learning

LLM post-training

Agents

Long-horizon systems

Memory & context

Eval harnesses

Production systems

Tools

None

Job description

Rnb Consultancy in San Francisco is hiring a brand-new AI lab focused on autonomous agents that pursue long-horizon goals. You will own ambitious bets from the first hypothesis and dataset through deployment, shaping the research agenda from day one.

The team values exceptional ML research and engineering talent with a track record of leading significant projects, and offers a chance to ship real-world results in a frontier research environment.