Sprinter HealthSan Francisco, CASoftware Engineer on the Logistics Optimization team designing and implementing algorithms for clinician routing, scheduling, dispatch, simulations, and predictive models to optimize in-home healthcare delivery at national scale. Requires 2-3 years software engineering experience with optimization, forecasting or simulation systems, preferably in TypeScript/Python.
Builds performance benchmarking, diagnostic, and optimization tools for LLM inference on GPU clusters. Early-career role requiring Python proficiency, systems curiosity, and interest in AI hardware—no prior experience needed.
Build and optimize ML infrastructure for autonomous vehicles, focusing on model optimization, compilers, and deployment across the autonomy stack. Requires 2+ years in ML optimization and strong Python/C++/CUDA skills.
Builds AI agents for legal workflows, optimizing performance via prompt engineering, model selection, tools, and evaluations. Partners with PMs and customers to ship low-latency, high-quality agent systems using Python and LLM APIs. Requires 2-5 years experience.
Early-career Software Engineer building and iterating on agentic LLM systems, RAG pipelines, evaluation frameworks, and backend/frontend components for AI-powered clinical documentation at Abridge. Requires CS degree or equivalent plus hands-on GenAI experience from projects, internships or coursework.
Develops and evolves machine learning technology stack for Pinterest's Ads monetization, building personalized recommendation systems using deep learning and LLMs. Requires 2+ years ML experience, CS degree, and expertise in large-scale systems.