Scale AISan Francisco, CALeads development of agentic AI systems for public sector, including guardrails, data processing, and fleet orchestration for federal datasets. Mentors engineers, defines technical strategy, and communicates with stakeholders to ensure reliable, secure solutions.
Staff Machine Learning Engineer developing state-of-the-art visual encoders and multimodal models at Pinterest Labs. Prototype visual reasoning tools, train billion-scale models on rich visual-text data, ship to production for recommender systems and VLMs, publish research, and mentor juniors. Requires strong CV/ML background, publications, and PhD or equivalent.
As a Staff Machine Learning Engineer, you will lead the ML strategy and execution for the Advertiser and Seller Experience team, building recommendation systems and context foundations. This role requires deep expertise in recommendation systems and modern agentic AI to shape advertiser and seller workflows.
Staff Software Engineer building and scaling Databricks' managed large-scale GPU training platform (AIR). Focus on distributed training performance, scheduling, fault tolerance, and developer experience for thousands of accelerators.
Develops and deploys state-of-the-art GenAI models and systems for Databricks products like Assistant and Genie. Requires 2-8 years ML engineering experience, proficiency in Python/PyTorch/TensorFlow, and expertise in LLMs.
As a Senior Member of Technical Staff, Harness Engineering, you will build the core substrate for Harper's AI agents, focusing on agent loop primitives, execution environment infrastructure, and tool layer ownership. You will work with frontier coding agents and internal agents, shipping primitives that agent teams depend on.