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is looking for a

Senior Machine Learning Researcher

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Remote - United States


Our mission is to enable human health.  

AKASA is the leading developer of AI for healthcare operations. Founded in 2019, AKASA has raised $85M in funding and has grown to more than 200 employees.  

Our founding team includes Silicon Valley leaders who have founded or been founding team members of multiple companies with successful exits. Our investors include Andreessen Horowitz, BOND, and Costanoa Ventures, among others. Recognized in 2021 among Top 150 “Most Innovative Digital Health Startups” by CB Insights, Top 75 “Best Places to Work” by Modern Healthcare, Certified as a “Great Place to Work” two years in a row, and ranked #34 of Top 100 Healthcare Companies in 2021 by The Healthcare Technology Report. Learn more at  

We are building the future of healthcare with AI.  Everyone is welcome — as an inclusive workplace, our employees are comfortable bringing their authentic selves to work.  

Join us.  

About the Role
As a remote Senior Machine Learning Researcher, you'll report to our CTO and work with machine learning PhDs from top schools (e.g., Stanford), and experienced machine learning engineers from top companies (e.g., Google).
Read our first two research publications about ​Autonomous Medical Coding​and using ​Deep Learning for Payer Response Prediction​ for more information on our previous work.
AKASA is based in South San Francisco. As a company, we embraced remote work before COVID-19. We consider ourselves experts in working collaboratively wherever our team members happen to reside.

What You'll Do
  • Create innovative AI/ML solutions to address real-world human health and healthcare problems
  • Contribute to AKASA’s drive to be on the cutting edge of technology through the publications and patents
  • Keep up to date with the advancement within the AI/ML community and decide when those developments warrant incorporation

  • Skills & Qualifications
  • A passion for working on important and impactful human health and healthcare problems
  • Ph.D. focused on ML or relevant publications or experience in fields related to AI,computer vision, natural language processing, computational neuroscience, optimization, computer science, statistics, applied mathematics, or data science.
  • First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, NAACL, and EMNLP) are preferred.
  • Experience in rapid prototyping and quick experimentation and proficient in writing code that others can understand, adapt and extend
  • Ability to multitask effectively under pressure and easily adapt within a fast-paced environment with strong written and verbal communication skills

  • We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

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