Sr. Machine Learning Engineer
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.
Learn more at www.AKASA.com.
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 Sr. Machine Learning Engineer, you'll report to our VP of Engineering and work with machine learning (ML) PhDs from top schools (e.g., Stanford), and experienced machine learning engineers from top companies (e.g., Google). You will put machine learning into practice, so your code directly affects our customers immediately. You will work with large proprietary medical and clinical datasets containing both structured documents, natural language and images.
The AKASA office is located in South San Francisco. While we support remote work on a variety of teams, we have a strong Bay Area presence across the company. The local R&D teams come into the office every Wednesday for co-working days, which this role will be expected to attend.
What You'll Do
Participate in developing state-of-the-art ML solutions to address large-scale healthcare problems
Help develop pipelines that collect, preprocess, and deliver data with a measurable quality
Write production-ready software with well-tested and efficient algorithms
Develop state-of-the-art ML algorithms across computer vision, large-language models, and probabilistic inference to solve problems like medical document entity extraction, medical coding and claim outcome prediction
Own ML services end-to-end, including problem discovery, data pipeline development, inference optimizations, model experimentation, and service deployment
Help build novel, application-specific ML models - all of our products are built from the ground up with ML at their core, enabling us to deploy our predictions in new and interesting ways
Skills & Qualifications
Master's degree in Computer Science or similar
5+ years of work experience in machine learning and data engineering
Have experience launching production systems from the ground up
Proficiency in one or more programming languages such as Python and C++
Development experience with cloud platforms such as Spark, AWS & k8s
Knowledge of ML frameworks such as Scikit-Learn, Pytorch & TensorFlow
Full-stack development experience for an end-to-end ML solution
Ideal experience with Large Language Models, including both open source model deployment and agentic workflows.
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 holidays401(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 recruiting@akasa.com.