Sr. Machine Learning Engineer

What You'll Do

Participate in developing state-of-the-art ML solutions to address large-scale healthcare problems

Own ML services end-to-end, including problem discovery, data pipeline development, inference optimizations, model experimentation, and service deployment

Help develop pipelines that collect, preprocess, and deliver data with a measurable quality

Write production-ready software with well-tested and efficient algorithms

Develop state-of-the-art ML algorithms across large-language models, probabilistic inference and computer vision to solve problems like medical document entity extraction, medical coding and claim outcome prediction

Help build novel, application-specific ML models - all of our products are built from the ground up with ML at their core, enabling us to deploy our predictions in new and interesting ways

Skills & Qualifications

Master's degree in Computer Science or similar

5+ years of work experience in machine learning and data engineering

Experience launching production ML systems from the ground up

Experience with Large Language Models, including both open source model deployment and agentic workflows; ideal: experience directly training or fine-tuning LLMs

Proficiency in one or more programming languages such as Python and C++

Development experience with cloud platforms such as Spark, AWS & k8s

Knowledge of ML frameworks such as Scikit-Learn, Pytorch & TensorFlow

What We Offer

Flexible paid time off (PTO)

Expansive coverage for health, dental, and vision

Employer contribution to Health Savings Accounts (HSA)

Generous parental leave policy

Full employee coverage for life insurance

Home office stipend

Cell phone/internet reimbursement

Company-paid holidays

401(K) plan

Compensation

Based on market data and other factors, the salary range for this position is $175,000-$230,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

Skills Required
Master's degree in Computer Science or similar
5+ years of work experience in machine learning and data engineering
Experience launching production ML systems from the ground up
Experience with Large Language Models, including both open source model deployment and agentic workflows
Proficiency in one or more programming languages such as Python and C++
Development experience with cloud platforms such as Spark, AWS & k8s
Knowledge of ML frameworks such as Scikit-Learn, Pytorch & TensorFlow