MercorSan Francisco, CABuild and ship high-fidelity RL environments, verifiers, and evaluation pipelines from enterprise workflow data to train and assess frontier AI models. Requires prior experience shipping environments or agentic evals plus strong full-stack engineering skills with a bias for action and detail.
Build and deploy production AI agents and frontier systems for enterprise customers, combining LLMs with retrieval, memory, multi-agent architectures, and traditional ML. Design evaluations, run experiments, ensure reliability/safety, and translate customer problems into scalable AI solutions. Requires 4+ years applied AI/ML experience and strong Python skills.
Perception Engineer owning outcomes for autonomous mining vehicles. Responsible for sensor selection, model adaptation to new sites/domains, diagnosing failures, data strategies, and translating customer needs into technical KPIs and solutions. Requires strong systems understanding of perception/full stack and real-world deployment experience.
Build, evaluate, and productionize ML/AI models (including LLMs and NLP) that solve ambiguous healthcare, product, and operational problems at Sprinter Health. Requires strong experimentation, error analysis, stakeholder collaboration with clinicians, and focus on real-world impact, bias, and evaluation.
Build and productionize agentic LLM-powered triage systems and ML/DL pipelines to automate failure analysis for autonomous robots. Requires Master's/PhD in STEM + 4+ years production ML/NLP experience with PyTorch, RAG, Databricks, and AWS.
Build and scale the shared AI platform foundations at Notion, enabling fast and safe shipping of AI products. Requires experience with LLM/ML platforms, strong ownership, and comfort across backend, infrastructure, and product code.