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+