OpenAISan Francisco, CADevelops and optimizes internal distributed ML training framework to boost hardware efficiency and enable researchers to experiment with new AI models. Requires strong Python skills, systems understanding, and passion for performance tuning.
Forward Deployed Engineer designs and deploys AI integrations and agentic workflows into customer enterprise systems, owning end-to-end production rollout. Requires 5+ years software engineering, Python proficiency, and LLM production experience.
Research Engineer building self-improving AI agent systems at Console. Develop eval/optimization loops, fine-tune specialist models, and improve agent reasoning over enterprise context using production data to drive measurable gains in quality, latency, and reliability.
Build and own ML models, fine-tuning, evaluation harnesses, and routing for Kepler's AI agent harness in finance. Requires 5+ years production software experience and shipped ML systems focused on correctness, evals, and real-world reliability.
Build and own evaluation systems, metrics, pipelines, and datasets to rigorously measure the quality of Firecrawl's LLM-ready web data outputs at massive scale, driving model and product improvements.
Build production ML systems for measuring, predicting, and scaling data quality for frontier AI models. Requires 3-6 years experience in applied ML or related production systems (ranking, recommendations, data quality, fraud) plus strong software engineering skills.