RL Data Engineer for Frontier Model Training

Rnb Consultancy; San Francisco (CA); On-site; USD 250,000 - 300,000; Full time

Job summary

Rnb Consultancy in San Francisco seeks a researcher or engineer who spans ML research and systems engineering to join a seed-stage AI company building long-horizon RL environments and post-training data.

You will own the full post-training loop, including infrastructure, training runs, and data; work on challenging tasks across science and ML research; and scale data generation through smarter tooling.

Qualifications

• Depth in ML research (post-training, RL, evals or interpretability) and strong engineering skills.
• Have post-trained models and built the datasets for it.
• Good eye for data, or the research ability to build that eye fast.
• Read code fast and solve problems quickly in PyTorch and ML pipelines.
• Curiosity that shows: papers, side projects, open source contributions or writing.
• Roughly 3–7 years of experience.

Responsibilities

• The full post-training loop: infrastructure, training runs and the data that goes into them.
• Long-horizon RL environments and tasks in many fields, from science to ML research itself.
• Scaling data generation through smarter, self-improving tooling, not more headcount.
• Judging which real-world tasks are worth building, because they matter to the labs and the economy.

Skills

ML research depth

Post-training models experience

PyTorch experience

ML pipelines

Data quality assessment

Curiosity and side projects

3-7 years experience

Tools

PyTorch

TensorFlow

Job description

Rnb Consultancy in San Francisco seeks a researcher or engineer who spans ML research and systems engineering to join a seed-stage AI company building long-horizon RL environments and post-training data.

You will own the full post-training loop, including infrastructure, training runs, and data; work on challenging tasks across science and ML research; and scale data generation through smarter tooling.