Machine Learning Engineer

Flatiron Health; Boston (MA); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading healthcare technology company in Boston is seeking a Machine Learning Engineer to improve cancer care through data-driven insights. You will develop and validate machine learning models to extract clinical information from unstructured medical notes, collaborating with a cross-functional team. The ideal candidate has 3+ years of experience in machine learning, strong skills in Python and SQL, and a background in NLP and LLMs. This role offers the opportunity to contribute meaningfully to patient care.

Qualifications

• 3+ years of relevant experience in a technical role focused on ML.
• Strong background applying ML to real-world problems.
• Experience with NLP and LLMs preferred.

Responsibilities

• Understand stakeholder needs and build ML models.
• Develop and validate models to extract clinical information.
• Collaborate with engineers to productionize and scale work.

Skills

Machine Learning

Natural Language Processing

Python

SQL

Job description

Data Science Machine Learning Engineer LLM NLP Healthcare

Join Flatiron Health as a Machine Learning Engineer and contribute to improving cancer care through data-driven insights. You'll develop and validate ML models to extract clinical information from unstructured medical notes, working with a cross-functional team across the US, Europe, and Japan. Your responsibilities include understanding stakeholder needs, building models using LLMs, traditional ML, and NLP techniques, validating models with scientists and oncologists, and collaborating with engineers to productionize and scale your work.

Requirements:

• 3+ years of relevant experience in a technical role with a focus on ML.
• Strong background in applying ML to real-world problems.
• Experience with NLP and LLMs preferred.
• Experience working in a startup environment.
• Experience with Python and SQL.

Nice-to-have:

• ML experience in healthcare.
• Experience with bias in machine learning and health equity.

How to Apply

Interested in this position? Please submit your resume and cover letter through the application portal.