Senior Applied Scientist - AI Platform

📋 Description

• Own the applied science direction for GenSim: set the methodology and the forward-looking technical
• Define, measure and raise the quality of post-training data — basic correctness, representativeness
• Close the realism gap. Simulated environments today are too clean and the injected problems are not
• Build scalable, production-grade systems rather than research scripts. The output is not just a
• Determine how this data is best applied, in LLM post-training and in evaluation, and own the agent
• Work cross-functionally with the engineers and applied scientists on adjacent teams — Bits AI SRE

🎯 Requirements

• You have a PhD, MS or equivalent research experience in a scientific field, with strong applied
• 6+ years of relevant applied science or ML engineering experience, including setting technical
• You have hands-on experience with LLM and agent post-training data: how it is created, managed, and
• You have real domain expertise in LLMs and agentic applications — not classical ML fine-tuning.
• You have evaluated agents or LLM applications, and can define what 'good' means before you measure
• You are a strong programmer and production software engineer. Python at minimum, plus the ability

🎁 Benefits

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intra-departmental mentor and buddy program for in-house networking
• An inclusive company culture and the ability to join our Community Guilds
• Access to Inclusion Talks, our internal panel discussions
• Free, global Spring Health benefits for employees and dependents age 6+