…experience with Harbor environments and RL environments. WHY MERCOR - Impact: No agent reaches an enterprise customer without clearing the bar you set. - Learning: Eval…

…state of model training, data recipe, and their research. Have experience with synthetic data generation, data curation and cleaning, Prior training and RL, evaluation…

…improving model behavior through data, reward modeling, or RL techniques. - Evidence of owning ambitious research or engineering agendas that led to measurable model improvements…

…Understanding of ML/LLM concepts. Post-training, evaluation metrics, reward modeling: deep enough to partner with researchers and execute on novel RL environments. - Thrives…

…shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on…

…The role sits at the intersection of software engineering, infrastructure, and security. You will work closely with researchers, infrastructure engineers, and platform teams to…

…solving complex technical challenges, from sim2real transfer to training RL policies - Mentor team members while maintaining significant hands-on contribution to technical solutions About…

…As a Staff engineer, you will lead the technical delivery of complex autonomy capabilities and demonstrate the ability to operate in significantly more grey…

…As a Sr Staff Engineer, you will lead the technical direction for the portfolio, driving the evolution of autonomy capabilities and architectures across multiple…

…and post-training, RL training runs, and large-scale evaluation sweeps Full research infrastructure — DoorDash's internal RL stack, RL environments built on real…

…technical direction, turn prototypes into reliable systems fast, and are at the frontier of agent-first engineering practice. What you'll work on RL…

…evaluations. - A track record of producing useful research artifacts, such as strong models, datasets, open-source systems, or technical reports. - Reading proficiency in Japanese…