Senior Machine Learning Researcher, AKASA
$175-230k
+ Equity
AI-powered automation for the healthcare revenue cycle
Open for applications
AI-powered automation for the healthcare revenue cycle
101-200 employees
Open for applications
$175-230k
+ Equity
101-200 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, costing patients and providers an estimated $500B annually in medical billing and insurance administrative expenses. AKASA, formerly Alpha Health, addresses this issue with its Unified Automation™ technology, designed to streamline revenue cycle operations and ease the healthcare burden.
AKASA's approach combines human expertise with AI-driven automation. Its machine-learning tools are supported by revenue cycle specialists who handle complex cases and refine the algorithms. This blend of human and machine intelligence could reshape the healthcare industry.
If successful, AKASA's model could serve as a blueprint for other sectors, demonstrating how automation and human oversight can work together to solve complex operational challenges.
Freddie
Company Specialist
Insights
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 values
- Lead with empathy: We embrace a spirit of generosity, kindness, and inclusivity
- Commit to excellence: We hold ourselves, our work, and our culture to high standard
- Empower yourself & others: We act with autonomy and authenticity, while allowing others to do the same
- Be brave: We shoot for the moon with our ideas and challenge the status quo
- Build trust: We deliver on our promises to each other and our clients
- Play the team: We know that we're better when we work together as one team and support each other
Company HQ
The East Side, South San Francisco, CA
Articles
Leadership
Malinka Walaliyadde
(Co-Founder & CEO)Previously worked at Andreessen Horowitz (a16z), Counsyl and Corning Life Sciences. They have an Engineering degree from Cornell University.
Varun Ganapathi
(Co-Founder & CTO)They have successfully started two AI companies prior to AKASA. One was acquired by Google and the other by Udacity.
Andy Atwal
(Co-Founder & VP of Engineering)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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