Machine Learning Engineer

Description

The company was founded in 2023 by machine learning researchers from MIT and Harvard Medical School. It is building an AI layer that pulls accurate, scalable information out of medical records. Its LLM-based platform handles chart review across use cases; the first product speeds up clinical registry abstraction in surgery, cardiology and oncology.

The team is early-stage, and the hires made now will help shape the company's next phase. The founding group combines machine learning, UI/UX, large language models and medicine.

The company is looking for a Machine Learning Engineer to work from its Boston or NYC office. You will design, build and ship scalable ML software for large healthcare problems, working alongside software engineers, research scientists and product teams on ML-native enterprise platforms focused on scalability, efficiency and reliability.

Responsibilities

• Turn recent LLM research, both in-house and from the wider community, into production systems that serve customers.
• Work with large, messy clinical data, both structured and unstructured, in a cloud environment.
• Build methods and features that keep production models accurate, including drift and performance degradation detection and observability tooling.
• Work with product, engineering and research colleagues to improve current products and build the next generation of healthcare ML.
• Build solid monitoring, logging and error handling into deployed systems.
• Track new developments in machine learning and AI.
• Help build a strong ML engineering and product culture that moves the company forward.

Requirements

• 5-7+ years of backend and cloud platform development, comfortable working across the stack when needed.
• Fluency in at least one backend language such as Python, Golang, Rust or Java. The team uses Python.
• Working knowledge of modern ML and LLM techniques and frameworks.
• A bachelor's degree in Computer Science, Engineering, Mathematics or a related field.
• Experience building and maintaining fast, scalable, data-heavy enterprise software.
• Strong problem-solving skills and attention to detail.
• Clear communication, including explaining complex technical ideas to non-technical people.
• Adaptable, collaborative, and motivated by using AI and ML to change healthcare, in a customer-focused, fast-moving setting.
• Bonus, not required: experience taking end-to-end ML systems from 0 to 1, covering design, training, inference, deployment and monitoring, ideally with LLMs.

Conditions

Engineers meet in person regularly at the NYC or Boston office. Engineers based in Boston, NYC or elsewhere on the East Coast are welcome.

Pay is expected to be $210,000-250,000 per year, plus stock options. Final pay depends on experience, fit and candidate location, and the range may change over time. Candidates whose pay expectations are above the range should still apply, as exceptions are considered.

Candidates who do not meet every requirement are encouraged to apply.

The company is an equal opportunity employer and welcomes diverse perspectives.

Benefits

• Stock options in addition to base pay of $210,000-250,000 per year.