Machine Learning Research Scientist
Confirmed live in the last 24 hours
Picnic Health

201-500 employees

Transforms medical records into research-ready datasets.
Company Overview
PicnicHealth stands out in the healthcare industry by empowering patients with control over their medical records while simultaneously creating comprehensive, clinically-rich datasets that accelerate the development of effective treatments. Their unique approach combines advanced machine learning with human curation to transform complex medical records into structured, research-ready data, a strategy that has attracted partnerships with major life sciences companies and over $100M in funding. With a dedicated team ensuring patients' medical timelines are consistently updated, PicnicHealth ensures a seamless experience for users and a valuable resource for medical research.
AI & Machine Learning
Data & Analytics
Social Impact
B2B

Company Stage

Series C

Total Funding

$174.1M

Founded

2014

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

4%

2 year growth

46%
Locations
United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Pytorch
CategoriesNew
Lab & Research
AI & Machine Learning
Requirements
  • Ph.D. degree in Computer Science or related technical field
  • Published research in the domain of LLMs
  • Hands-on experience building models in pytorch
  • Solid understanding of the latest AI/ML research trends and techniques
Responsibilities
  • Propel the performance of our LLM through research and development initiatives
  • Develop advanced methods for understanding and evaluating the capabilities and limitations of our LLM
  • Incorporate recent advances in AI/ML research into our core capabilities
  • Share insights and breakthroughs through academic publications, blog posts, and other mediums
  • Help expand the ML team by attracting, interviewing, and onboarding future team members
Desired Qualifications
  • Commitment to continual learning and professional growth in AI/ML
  • Motivated by the potential to improve healthcare using LLMs