ClayNew York, NYBuild and ship production machine-learning systems that learn from customer data and behavior, including recommendations, LLM-powered features, evaluation systems, and ML infrastructure. The role requires 5+ years of ML engineering or ML-heavy software engineering experience and strong production systems expertise.
Design, build, and maintain LLM integrations powering AI features. Own end-to-end delivery from requirements through production monitoring with focus on scalability and reliability.
Builds and scales ML/DL infrastructure including data pipelines, annotation workflows, training, deployment, and monitoring for autonomous drone systems. Requires hands-on experience in data engineering, cloud ML platforms, containerization, and MLOps.
Research Engineer building production LLM and ML systems for healthcare workflows. Requires strong ML/NLP research background with publications, production deployment experience, and proficiency in PyTorch/TensorFlow/JAX.
Owns evaluation infrastructure for AI agents in audit workflows, building unified platforms, automated pipelines, observability, and feedback loops to ensure enterprise-scale reliability. Requires experience with LLMs, TypeScript/Python, and production AI systems.
Builds and deploys machine learning models to address business challenges. Requires 3+ years experience, Python proficiency, TensorFlow/PyTorch, and production ML deployment skills.