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Machine Learning (ML) Engineer

Website Equip

Help People Heal from Eating Disorders – Machine Learning Engineer (Remote) at Equip

Equip empowers people with eating disorders to recover through evidence-based, virtual treatment. Join our mission and make a real difference!

About Equip:

  • Founded in 2019, Equip is a leading virtual treatment program for eating disorders.
  • Featured by Time Magazine as a 2023 most influential company!
  • We offer comprehensive care with therapists, dietitians, doctors, and peer mentors.
  • We partner with most major health insurance plans.

The Role:

  • Design and build cutting-edge ML/AI solutions to improve the user experience, analyze data, and boost efficiency.
  • Develop tools using large language models to personalize treatment and support patients.
  • Collaborate with a talented team of data scientists, analysts, and engineers to bring your ideas to life.
  • Continuously improve and optimize your ML models for even better outcomes.

You’re a Perfect Fit If You Have:

  • A bachelor’s or master’s degree in CS, stats, math, or a related field (2+ years of experience required).
  • Experience building, deploying, and optimizing ML models in production.
  • Strong understanding of software engineering best practices and data analysis.
  • Experience with large language models and working with unstructured text data.
  • Python pro with skills in machine learning frameworks and SQL.
  • Excellent communication and collaboration skills.
  • A passion for helping others and a drive to innovate in the healthcare field.

Why Equip?

  • Make a real impact on people’s lives with a mission-driven company.
  • Work from the comfort of your home with a flexible schedule.
  • Competitive salary, benefits package, and opportunities for growth.
  • Be part of a supportive and collaborative team that’s changing the face of healthcare.

Ready to use your ML skills to help people heal? Apply today!

We are an equal opportunity employer and value diversity at our company.

To apply for this job please visit jobs.lever.co.

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