Research Product Manager, Fine-tuning

What you'll do

• Prioritize training-capability packages combining reinforcement-learning environments and supervised fine-tuning (SFT) data.
• Define and deliver fine-tuned model variants, including training data, evaluations, and release criteria.
• Coordinate with AI Research and app and platform teams to track delivery, validate capabilities, and hand off fine-tunes.

What they ask for

• Experience as a Product Manager on ML/AI products.
• Experience delivering a model or product variant for external or commercial customers, including defining data, evaluations, and release criteria.
• Demonstrated ability to prioritize backlogs across scientific, research, and commercial demands.
• Strong cross-functional partnership with research teams and ability to translate evolving priorities into sequenced deliverables.

Nice to have

• Familiarity with capability-based LLM training, including RL environments, SFT data generation, and evaluations.
• Experience partnering with ML/AI research teams on evaluation design and release criteria; scientific or technical domain background relevant to Lila’s mission.

Pay

$204,000 — $310,000 USD (base salary)

Tools

Lila model, reinforcement-learning environments, supervised fine-tuning (SFT), LLM

AI focus

Prioritize scientific-domain capabilities for the Lila model and deliver fine-tuned variants using training data, reinforcement-learning environments, SFT data, and evaluations.