Raydar
Research Scientist
$250K–$500K
San Francisco, California · Full-time · Posted Oct 1, 2026
- Experience
- Roughly 3 to 6 years of research or engineering experience; time at a leading AI lab valued.
About the job
Leads applied machine learning research on long-running autonomous agents, from experimentation and model training through production rollout.
What you'll do
- Fine-tune language and multimodal models and develop agents that plan, retain context, recover from errors, and interpret user goals.
- Build simulated environments, data pipelines, and test suites to train and evaluate agents.
- Run experiments, move findings into production, and help set the research group’s priorities and engineering direction.
What they ask for
- Strong machine learning research and engineering skills, with deep expertise in at least one relevant area.
- Sound experimental judgment and ability to deliver complete working systems.
- Ability to work across exploratory research, large training runs, and production engineering.
- Track record of owning significant research work, such as a model, agent system, dataset, publication, or open-source contribution.
Nice to have
- Direct experience with reinforcement learning for model fine-tuning, agents, or long-running systems.
- Publications, open-source work, released benchmarks, training environments, data pipelines, test harnesses, or exceptional competitive achievement.
Pay
USD 250,000 to 500,000 per year (base salary)
Tools
large language models, multimodal models, reinforcement learning
AI focus
Applied machine learning research and engineering for fine-tuned language and multimodal models and autonomous software agents.
Model-written summary · the original posting is authoritative