ML Research Engineer
4 days ago
Layer Health is a pioneering AI startup spun out of MIT CSAIL, revolutionizing clinical documentation by harnessing the power of large language models. Our mission is to reduce friction in healthcare, power precision medicine, and improve patient outcomes. We're building an AI layer that will radically speed up and enhance the quality of extracting and synthesizing information from medical records.
Job Description
We're seeking an experienced ML Research Engineer to join our team. In this role, you will support our growing engineering efforts by developing efficient and scalable ML tooling. Your responsibilities will include:
- Researching, developing, and productionizing LLM-powered machine learning methods for extracting insights from longitudinal clinical data.
- Building research infrastructure tooling to supercharge our R&D efforts, including benchmarking, training, and prototyping new features.
- Translating state-of-the-art models into production, delivering value for our customers.
- Working with large-scale, real-world clinical data, developing solutions to better parse and interpret it.
- Developing methods and features to ensure high-quality results for our production models.
Requirements
We're looking for a candidate with a minimum of 5 years of experience as an ML Engineer and/or Research Engineer. You should have a strong background in Python or other programming languages commonly used in AI/ML development. Proficiency in PyTorch, Tensorflow, and HuggingFace is a plus. Excellent communication skills and attention to detail are essential. Experience developing and maintaining performant, scalable, and data-centric enterprise software products is also required. We're a Boston-based company, and expect engineers to meet regularly in-person in either our NYC or Boston office.
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