Machine Learning Engineer

You can expect to

• Translate start-of-the-art LLM research (both internally developed and from the community) into production, delivering value for our customers.
• Work with complex, large-scale, real-world clinical data (both structured and unstructured data) in a cloud-based environment.
• Develop methods and features to ensure high-quality results for our production models (methods to detect drift/performance degradation; develop observability tooling for performance characteristics, etc.).
• Collaborate with the broader product, engineering, and research teams to improve our products and build the next-generation of ML for healthcare.
• Ensure robust monitoring, logging, and error handling for deployed systems.
• Stay updated on the latest advancements in machine learning and AI.
• Cultivate a robust ML engineering and product culture that drives the company forward.

We look for

• 5-7+ years of experience in backend and cloud platform software development, with the ability and flexibility to traverse the stack when necessary.
• Fluency in one or more backend programming languages including Python, Golang, Rust, Java (we use Python).
• Familiarity with modern ML/LLM techniques and frameworks.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
• Experience in 0-to-1 development of end-to-end ML systems (design, training, inference, deployment, and monitoring; bonus if involving LLMs). - this is a bonus and not a requirement
• Experience developing and maintaining performant, scalable, and data-centric enterprise software products.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team, in a customer-focused and fast-paced environment.
• We expect engineers to meet regularly in-person in either our NYC or Boston office (engineers from Boston, NYC, or east coast are welcome).

Expected compensation range for this role is $210,000-250,000/year, in addition to stock options. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made.

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo.

Join us and help us transform healthcare with AI.