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Research Intern, AI (Spring/Summer 2023)

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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
Our research interns are mentored one-on-one by seasoned researchers and have the opportunity to collaborate with engineering and annotation teams to address real-world problems using challenging data. This internship aims to be the first to lead to publications at prestigious ML conferences. Internships are entirely remote, can begin any time next year, and typically last 16 weeks. However, we are always open to collaborating beyond the internship.
In 2022, our interns were actively involved in working on each of the NLP and CV projects, resulting in patent and paper submissions (which are currently under review). For more information on our past research work before 2022,  refer to these two publications about Autonomous Medical Coding and using Deep Learning for Payer Response Prediction.
This is a remote (US Based Only) internship opportunity, and participation in the research internship program requires you to be physically located in the US for the duration of the internship.

What You'll Do
  • Advance machine learning science and technology through research that will result in publication in a top tier machine learning conference and can be applied to AKASA’s healthcare product development

  • Skills & Qualifications
  • Currently pursuing a Ph.D. degree in machine learning or related fields
  • First-authored publications at ACL, EMNLP, NAACL, AAAI, ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, or similar are preferred
  • Machine learning frameworks (Python, PyTorch, Tensorflow) knowledge and experience
  • Capability to communicate research findings in a clear, precise, and actionable manner
  • A strong interest in theoretical and empirical research, as well as answering hard questions with research
  • Capable of committing to a 16-week internship
  • Exposure to machine learning in healthcare is valued but not required

  • 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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