AI Research Engineer: Benchmarks, RL, and Safe AI

TTN Talent; San Francisco (CA); On-site; USD 200,000 - 400,000; Full time

Job summary

TTN Talent is seeking candidates for an early-stage AI infrastructure company role focused on research, data, evaluations, and model improvement. You will contribute to building benchmarks, datasets, and environments to enhance model reasoning and agent performance.

Fresh PhD graduates can be considered. Salary on offer is $200,000 to $400,000, with higher potential for exceptional candidates.

Qualifications

• Experience in AI research across LLMs, agents, evaluations, benchmarking, AI safety, alignment.
• Hands-on experience building AI/ML research projects, benchmarks, evaluations or agent systems.

Responsibilities

• Experience with post-training methods such as RLHF, DPO, distillation or high-stakes model evaluation.

Skills

AI research

Hands-on coding

Autonomy

Tools

Post-training methods

Job description

TTN Talent is seeking candidates for an early-stage AI infrastructure company role focused on research, data, evaluations, and model improvement. You will contribute to building benchmarks, datasets, and environments to enhance model reasoning and agent performance.

Fresh PhD graduates can be considered. Salary on offer is $200,000 to $400,000, with higher potential for exceptional candidates.