Research Scientist (Staff+)

What you'll do

• Lead research on evaluation, benchmarks, deal prediction, simulation, and self-improvement; design evaluations and benchmarks for Lightfield’s AI system.
• Develop simulated business environments and techniques, including reinforcement learning, to improve the system and ship deal-prediction features.
• Publish research and help shape the research agenda, team, and culture through recruiting and mentoring.

What they ask for

• 7+ years of applied research experience in ML or NLP, in industry or academia.
• PhD or MS in Computer Science, Machine Learning, or a related field, or equivalent research experience.
• Track record of research that shipped or was published, such as papers, open-source models, datasets, or benchmarks.
• Deep hands-on LLM experience, including evaluation, agent design, and retrieval; strong Python and comfort with production codebases.

Nice to have

• Post-training experience (SFT, RL, preference optimization).
• Experience with simulations, synthetic data, RL environments, forecasting, predictive modeling on business data, or creating widely adopted benchmarks.

Pay

$220K – $300K USD base salary

Tools

LLMs, Python, TypeScript, Node.js, PostgreSQL, SFT, RL

AI focus

Frontier research in simulation, world modeling, and self-improvement for a Business World Model, including evaluation, benchmarks, reinforcement learning, fine-tuning where useful, and deal prediction.