About AKASA
AKASA is the preeminent provider of generative AI solutions for the healthcare revenue cycle. The company has raised more than $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.
Named one of the fastest-growing GenAI startups to watch by AIM Research, we’re solving the biggest challenges in the financial infrastructure of healthcare. Transaction volume through the AKASA Platform has grown consistently, with a ~2.5x year-over-year increase in the last year. The AKASA customer base represents more than $90B in net patient revenue and includes the most innovative health systems in the country, like Stanford and Johns Hopkins.
Our founding team includes Silicon Valley leaders who have founded or been founding team members of multiple companies with successful exits. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report. We have been recognized as one of “America’s Best Startup Employers” by Forbes, “Most Innovative Digital Health Startups” by CB Insights, “Best Companies for Remote Workers” by Quartz, and “Best Places to Work” by Fortune, Modern Healthcare, and Built-In, along with being certified as a “Great Place to Work” for the past four years in a row.
We are building the future of healthcare with AI. Everyone is welcome. As an inclusive workplace, we are committed to building an environment where our employees are comfortable bringing their authentic selves to work.
Join us!
About the Role
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.
AKASA is based in South San Francisco. As a company, we embraced remote work. We consider ourselves experts in working collaboratively wherever our team members reside.
What You'll Do
- 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
Skills & Qualifications
- 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 We Offer
- Unlimited paid time off (PTO)
- Expansive coverage for health, dental, and vision
- Employer contribution to Health Savings Accounts (HSA)
- Generous parental leave policy
- Full employee coverage for life insurance
- Company-paid holidays
- 401(K) plan
Compensation
- Based on market data and other factors, the salary range for this position is $175,000-$230,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.
We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.
AKASA is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives, just to name a few. We do not discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. AKASA considers qualified applicants regardless of criminal histories in accordance with the San Francisco Fair Chance Ordinance.
AKASA is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].
