ML Research Scientist at Phare Health
United States, North Carolina, USA -
Full Time


Start Date

Immediate

Expiry Date

30 Apr, 25

Salary

0.0

Posted On

31 Jan, 25

Experience

2 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Machine Learning, Computer Science

Industry

Information Technology/IT

Description

ABOUT US

Our mission is to make healthcare reimbursement fair and transparent, so providers can spend more time caring for patients and less time haggling over costs. We specifically focus on the most complex AI challenges that require novel R&D, building products that are fit for purpose in healthcare. We are backed by some of the top healthcare investors and growing fast. Join us!

REMOTE OPTIONS

We are ideally seeking candidates based in NYC, willing to come into the SoHo office at least 3 days per week. However, we’re willing to consider remote options for exceptional candidates.

Responsibilities

THE ROLE

As a Research Scientist, you’ll design and implement state-of-the-art approaches involving medical large language models and information retrieval pipelines. Think DeepMind research lab, but with a much faster product iteration cycle where your research is shipping to product in weeks not years.

KEY RESPONSIBILITIES

  • Push Forward SOTA: Design and train novel architectures for information retrieval and reasoning, leveraging frontier models, open-source models and traditional methods. Take ideas from whiteboard to trained model in days or weeks.
  • Research Leadership: Drive a research agenda that explores new architectures, post-training methods, ensuring our methods remain on the cutting edge with this rapidly evolving field.
  • Engineering Rigor: Collaborate with engineering colleagues to rapidly translate research findings into production and optimize experimental findings for scale.
  • Collaborative Problem Solving: Work closely with cross-functional teams, including data scientists, clinicians, and software engineers, to integrate user feedback into experiment design.
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