- Idler (San Francisco, CA)
- A leading AI company in San Francisco seeks a skilled engineer to design and build scalable reinforcement learning environments. The role involves creating automated ... QA systems and collaborating with AI researchers. Ideal candidates will have experience with Typescript, React, and system design. This is an in-person position within an energetic team culture focused on winning and collaboration. Benefits include healthcare,… more
- Idler (San Francisco, CA)
- …execution. Concretely, you'll: Design and build scaleable systems that generate RL environments Create automated QA systems to validate environment quality and ... expand beyond coding environments You'll work with The founding team, a founding engineer , and a small group of engineers (we're hiring quickly). You'll have direct… more
- Chef Robotics (TM) , Inc. (San Francisco, CA)
- …Strateos, Built Robotics, Facebook, Plenty, Yelp, and Microsoft. About the Role As a Senior Robotics Software Engineer , Manipulation at Chef Robotics, you'll ... Advanced Manipulation Algorithm Development Lead the development of classical and ML/ RL ‑based motion planning and manipulation algorithms that work reliably across… more
- Icon Ventures (San Francisco, CA)
- …coach that's recognized as best‑in‑class. About the Role As Sr. Staff Applied AI Engineer , you will be the hands‑on technical leader shaping Quizlet's AI products in ... to RAG/LLM pipelines), ensure robust evaluation and responsible deployment, and mentor senior engineers to multiply impact across the org. We're happy to share… more
- Scale AI, Inc. (San Francisco, CA)
- Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep ... a related field, or equivalent practical experience. 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep… more
- DoorDash (San Francisco, CA)
- …including A/B testing platform, Causal Inference platform and Adaptive Learning platform ( RL /MAB) + Expand the statistical and causal inference algorithms to support ... large-scale experimentation volume and computation load and high noise-to-signal business environment + Apply semi-supervised learning, LLM, active learning, documentation embedding/retrieval and data augmentation strategies to advance the hypothesis… more
