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Machine Learning Co-Op (January - June 2025)

Remote: 
Full Remote
Contract: 
Experience: 
Entry-level / graduate
Work from: 

Offer summary

Qualifications:

End-to-end machine learning experience, Developing in Python required, NLP/PyTorch preferred, Familiarity with software development practices, At least one prior co-op experience, MS/PhD student in relevant fields.

Key responsabilities:

  • Develop reliable and scalable machine learning systems
  • Contribute to design, testing, and delivery of ML models
  • Work in an autonomous, agile team environment
  • Collaborate across diverse stakeholders
  • Participate actively in model development
Cohere Health logo
Cohere Health SME https://www.coherehealth.com/
201 - 500 Employees
See more Cohere Health offers

Job description

Company Overview:

Cohere Health is illuminating healthcare for patients, their doctors, and all those who are important in a patient’s healthcare experience, both in and out of the doctors office.  Founded in August, 2019, we are obsessed with eliminating wasteful friction patients and doctors experience in areas that have nothing to do with health and treatment, particularly for diagnoses that require expensive procedures or medications.  To that end, we build software that is expressly designed to ensure the appropriate plan of care is understood and expeditiously approved, so that patients and doctors can focus on health, rather than payment or administrative hassles.

Opportunity Overview:

As a Machine Learning co-op 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.

What you will do:

  • Work on reliable and scalable production machine learning systems
  • Work as a full fledged member of a fast-paced, autonomous, agile team building a growing suite of machine learning capabilities
  • 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

Your background & requirements:

  • 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
  • At least one prior co-op experience working on a machine learning or data science team
  • You are enrolled in (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

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

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.

The hourly rate for this position is $35 an hour; this is a 40-hour week Co-Op and you must be available January to June 2025.

#LI-Remote

#BI-Remote

 

Required profile

Experience

Level of experience: Entry-level / graduate
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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