[Remote] Research Engineer, Applied ML/AI

Note: The job is a remote job and is open to candidates in USA. Sully.ai is a cutting-edge company formed by a team from OpenAI, DeepMind, NASA, and more, focused on transforming healthcare through advanced AI technologies. They are seeking a Research Engineer, Applied ML/AI to bridge research and scalable production systems, owning the training and inference toolchains while optimizing model performance in healthcare applications. Responsibilities • Own the full training, fine-tuning, and inference toolchains for Sully’s applied ML stack. • Translate research repos into production-ready services behind stable APIs. • Ship multimodal features (text, audio, vision) that enhance agent performance. • Optimize inference pipelines for cost, throughput, and latency. • Build evaluation systems that integrate into CI/CD, blocking weak checkpoints. Skills • Strong engineering background with experience in distributed systems and large-scale model training/serving. • Hands-on experience with multimodal ML (audio, vision, text). • Production ML hygiene: versioning, metrics, observability, reproducibility. • Proven track record of shipping ML systems into production. • Experience with model optimization techniques (quantization, caching, pruning). • Background in healthcare, medical AI, or other high-stakes regulated environments. • Contributions to open-source ML frameworks or libraries. Benefits • Competitive Compensation • Equity Company Overview • Sully.ai offers an AI Medical Assistant that automates clinical tasks and integrates with EHR systems. It was founded in 2023, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is https://sully.ai. Apply tot his job Apply To this Job