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Lead Machine Learning Engineer

mEMR Health

mEMR Health

Software Engineering
United States
Posted on May 15, 2025
Who we are

We are meMR (“me-emm-arr”) health. On the Machine Learning team, we play a key role in automating the retrieval and analysis of medical records for our clients. We are a small yet high-performing team that leverages a variety of traditional and emerging AI/ML techniques to solve problems for our customers. We are seeking to expand our team by adding a Senior ML Engineer to help execute key business objectives.

Who you are
  • A curious & active learner who keeps up to date with the latest in AI and machine learning
  • A proactive team member who takes personal initiative to solve problems
  • You are comfortable working in a fast-paced environment and can pivot quickly
  • You are comfortable wearing many hats to support the full ML lifecycle from data to application
  • You can receive feedback in the spirit it is given. You can also give thoughtful feedback to your colleagues
  • You work independently in a remote environment without heavy management
  • You can have fun with your team and not take yourself too seriously
Skills & Qualifications
  • >= 8 years of experience working with AI/ML in a business setting
  • Strong Python and SQL skills
  • ML model evaluation (including LLM evals)
  • ML system design and orchestration
  • Experience with AWS services such as ECS/EKS, EC2, SQS, and s3
  • You have personally deployed >= 1 ML or LLM system to production in a business setting
  • You have personally released a model you trained to production in a business setting
  • Familiarity with Docker
  • Familiarity with git
  • [Bonus++] An advanced degree (MS, PhD) in a quantitative or scientific field
  • [Bonus+] experience performing data engineering and analysis tasks
  • [Bonus] experience fine-tuning large language models and/or vision-language models



Responsibilities
  • Build, train, evaluate, deploy, and maintain AI/ML solutions
  • Build and maintain high-quality data workflows and processes
  • Help execute company objectives in a timely manner
  • Be a core member of the Machine Learning team, sharing your knowledge and learning from others
  • Maintain and develop software following best practices