Machine Learning Engineer Intern

As an intern you will get a front row seat in a fast growing company which will undoubtedly advance your career and give the right candidate an accelerated career path. In this role, you’ll work with our growing team of world-class engineers, statisticians, and clinical experts to develop and deploy machine learning algorithms that help automate burdensome administrative clinical practices. This is a unique opportunity to join a new engineering team with great ambition and building on modern technology with zero legacy technical debt. 

Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

• →Work on reliable and scalable production machine learning systems
• →Contribute to feature design, development, testing, and delivery of our machine learning models
• →Work cross-functionally across diverse stakeholders, including product managers, statisticians, EHR data specialists and physicians.
• →Actively participate in development of machine learning models

• You are passionate about building quality products and have end-to-end machine learning experience, leading with the right design and development principles
• Experience developing in python, required (NLP/PyTorch experience preferred)
• You have familiarity with common software development practices such as version control, unit testing, and CI/CD
• You are a team player and are interested in working at a fast-paced startup environment
• You are enrolled in a Bachelor’s or higher (MS/PhD) degree program in computer science, machine learning, computational linguistics, statistics, mathematics or similar field
• Prior experience in healthcare and life sciences is a plus, but is not required

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

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