Conducts applied research on long-horizon autonomous AI agents, focusing on evaluation, post-training, environment design, and benchmarks to improve frontier models. Builds simulations, runs experiments, ships production code, and publishes findings.
Leads research in computer vision, multimodal understanding, and visual generation. Develops novel models and methodologies, translates research to production, and mentors teams. Requires PhD preferred, 8+ years experience, and expertise in PyTorch, TensorFlow, transformers.
Develop and scale generative models like diffusion and flow-matching for autonomous driving plan generation. Collaborate across teams to productize models for real-world deployment, requiring PhD/MSc + 3+ years in generative modeling and strong Python/C++ skills.
Develop post-training recipes and build enterprise data agents for autonomous planning, code generation, and multi-step workflows. Requires 2+ years applied research experience shipping prototypes, plus expertise in LLMs, agents, and RL.
Leads end-to-end applied ML research in NLP, LLMs, retrieval, and multimodal models for healthcare AI, driving from experimentation to production deployment with rigorous evaluation and clinician collaboration. Requires 7+ years experience, MS/PhD, and depth in ML areas like PyTorch tooling.
Develops next-gen Agent RL training platform for enterprise GenAI, integrating cutting-edge research to train state-of-the-art models for complex use cases. Requires 5+ years LLM production experience, RLHF expertise, recent top publications, and advanced CS degree.