Senior Machine Learning Researcher, AKASA
$175-230k
+ Equity
Generative AI solutions for the healthcare revenue cycle
Job no longer available
Generative AI solutions for the healthcare revenue cycle
201-500 employees
Job no longer available
$175-230k
+ Equity
201-500 employees
Company mission
To enable human health by building the future of healthcare with AI.
Role
Who you are
- Professional experience with training Large Language Models
- Experience working with healthcare data (e.g., EDI, FHIR)
- A passion for working on important and impactful human health and healthcare problems
- Ph.D. or equivalent industry experience related to AI, computer vision, natural language processing, computational neuroscience, optimization, computer science, statistics, applied mathematics, or data science
- 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 proficiency in writing code that others can understand, adapt and extend
- Ability to multitask effectively under pressure and quickly adapt within a fast-paced environment with strong written and verbal communication skills
What the job involves
- As a remote Sr. Machine Learning Researcher, you'll report to our CTO and work with a team of talented engineers from top schools who have professional experience with leading companies
- You will partner closely with a strong team of PhD Researchers and Machine Learning Engineers
- Train or Fine-Tune Large Language Models (e.g., Llama architecture) for Healthcare Applications
- Create innovative AI/ML solutions to address real-world human health and healthcare problems
- Keep up to date with the technological improvements within the AI/ML community and decide when those developments warrant incorporation
Our take
The US healthcare system is both financially and operationally complex. It is estimated to cost patients and providers $500 billion annually in medical billing and insurance administrative expenses. AKASA, formerly Alpha Health, addresses this issue with its Unified Automation technology
The technology is designed to streamline revenue cycle operations by combining human expertise with AI-driven automation. It deploys machine-learning tools supported by revenue cycle specialists who can handle more complex cases and refine the algorithms.
This blend of human and machine intelligence is a stand-out approach, which could well serve as a blueprint for other sectors. Meanwhile, AKASA will continue to help reshape the healthcare industry by solving its complex operational challenges.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-17% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2024
$120m
SERIES C
Mar 2021
$60m
SERIES B
Total funding: $205m
Company benefits
- Unlimited paid time off (PTO)
- Expansive coverage for health, dental, and vision
- Employer contribution to Health Savings Accounts (HSA)
- Generous parent leave policy
- Full employee coverage for life insurance
- Company-paid holidays
- 401(K) plan
Company HQ
The East Side, South San Francisco, CA
Leadership
Malinka Walaliyadde
(CEO & Co-founder)Previously worked at Andreessen Horowitz (a16z), Counsyl and Corning Life Sciences. They have an Engineering degree from Cornell University.
Andy Atwal
(VP of Engineering & Co-founder)Prior to AKASA, they were the founding Software Engineer at Counsyl, a health technology company offering DNA screenings for various diseases.
Ben Beadle-Ryby
(Co-founder)Previously, they were a Partner at the Advisory Board Company, where they oversaw revenue cycle consulting and technology.
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