ExtendNew York, NYBuilds state-of-the-art document processing infrastructure using LLMs, including QA agents, optimizers, multimodal models, and self-correcting systems. Monitors production models, runs experiments, and owns large product areas for real-world customer impact.
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 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.
Founding ML Operations Engineer building scalable training, inference, and evaluation pipelines for proprietary VLMs and LLMs in healthcare. Requires 5+ years production ML infrastructure experience, strong Python/TypeScript skills, and ownership in a fast-paced startup.
Machine Learning Engineer building the Enterprise Brain - a proactive AI system for task detection, automation, reasoning, planning and personalization using LLMs, RL, fine-tuning, and advanced ranking on top of enterprise and personal knowledge graphs. Requires 3+ years ML experience, strong production ML skills, and expertise in evaluation/benchmarking.