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Senior Machine Learning Engineer

73% Flex
Full Remote
Senior (5-10 years)
  • Remote from:France
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Senior Machine Learning Engineer

73% Flex
Remote: Full Remote
Experience: Senior (5-10 years)
Work from: France...

Offer summary

Qualifications: 5 years of machine learning experience in production, with knowledge of generative AI and Python usage, Strong communication skills to collaborate effectively with technical and non-technical team members.

Key responsabilities:

  • Contribute to the MapAI production codebase, partner closely with Product Management for user experience, evaluate and suggest technologies
  • Regularly sync with the team on machine learning approaches, propose new designs overcoming obstacles, document work thoroughly
Komodo Health logo
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Komodo Health
Computer Software / SaaSScaleup

http://www.komodohealth.com/

501 - 1000 Employees

Job description

Logo JobgetherYour missions

We Breathe Life Into Data

At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. 

As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way.

The Opportunity at Komodo Health

The MapAI team at Komodo is using cutting-edge generative AI to build a better way to get data-driven insights about healthcare.  We are an integral part of Komodo’s platform working on the most comprehensive data about what happens in US healthcare.

Answering healthcare questions in a high-quality manner using the best data is a complex undertaking, requiring significant technical and domain expertise.  Generative AI offers a path to do this automatically and efficiently, but engineering and fine-tuning AI systems is itself a challenge.  Our team tackles this problem head-on, with the goal of better enabling our customers to find the insights they need and to reduce the global burden of disease.

Looking back on your first 12 months at Komodo Health, you will have…

  • Owned the development of key functionality enabling MapAI to address critical (and currently unmet) user needs 
  • Incorporated user feedback as a part of the development process, both informally but also in automated ways that scale
  • Proposed new designs and ideas for creatively finding ways around seeming obstacles to a high-quality user experience
  • Learned about healthcare data and how to use generative AI to solve critical problems for Komodo’s users

You will accomplish these outcomes through the following responsibilities…

  • Continual contributions to the MapAI production codebase, including reviews of your colleagues’ code
  • Close partnership with Product Management in defining and realizing the best achievable user experience
  • Regular team syncs about our machine learning approach, including generating and constructively critiquing new ideas
  • Continually evaluating new technologies and innovations that can be incorporated into our solution
  • Collaboration with other Platform and Application Engineering teams when opportunities to jointly tackle problems arise
  • Documenting your work to a high-standard, and rigorously ensuring quality of everything that is released

What you bring to Komodo Health (required):

  • 5 years of experience with machine learning in production, including ML Ops
  • Knowledge of the mathematical underpinnings of generative AI, and its strengths and weaknesses in practice
  • Experience with fine-tuning foundation LLMs using Python
  • Demonstrated ability to communicate and collaborate with both technical and non-technical colleagues
  • Knowledge of best practices for data privacy in the context of machine learning

Additional skills and experience we’ll prioritize…

  • Experience with and interest in healthcare and health data
  • Rapid adoption of new frameworks and technologies, especially in the context of large language models
  • Ability to work in a fast-paced environment

#LI-Remote

Where You’ll Work

Komodo Health has a hybrid work model; we recognize the power of choice and importance of flexibility for the well-being of both our company and our individual Dragons. Roles may be completely remote based anywhere in the country listed, remote but based in a specific region, or local (commuting distance) to one of our hubs in San Francisco, New York City, or Chicago with remote work options. 

What We Offer

On top of our commitment to providing competitive, fair pay for all roles at Komodo Health, we’re proud to offer robust and inclusive benefits to all Dragons at Komodo Health. We offer global time off programs, extensive internal and external career development and learning opportunities, and multiple affinity groups celebrating our team’s diversity.

Equal Opportunity Statement

Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 

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Level of experience :
Senior (5-10 years)
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Hard Skills
Soft Skills
  • Ability to work in a fast-paced environment, adopt new frameworks quickly
  • Interest in healthcare and data privacy practices, commitment to diversity and inclusivity

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