Senior Machine Learning Engineer, 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
- Master's degree in Computer Science or similar
- 5+ years of work experience in machine learning or 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 big data technologies such as SQL and AWS/Cloud Platform
- Knowledge of machine learning frameworks such as Pytorch and/or Tensorflow
- Full-stack development experience for an end-to-end machine learning solution
- Ideal experience with Natural Language Processing or Computer Vision
What the job involves
- As a remote Senior Machine Learning Engineer, Systems, you'll report to our Engineering Manager, Machine Learning and work with machine learning PhDs from top schools (e.g., Stanford, Cornell, UC Berkeley), and experienced machine learning engineers from top companies (e.g., Google, Facebook, Amazon)
- 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
- Participate in developing state-of-art machine learning solutions to address large scale healthcare problems
- Design and build pipelines that collect, preprocess, and deliver data with a measurable quality
- Write production-ready software with fast and efficient algorithms
- Own machine learning services from end-to-end, including problem discovery, data pipeline development, model experimentation, and service deployment
- Help build new machine learning prediction delivery systems - all of our products are built from the ground up with machine learning at their core, enabling us to deploy our predictions in new and interesting ways
- Opportunity to quickly make an impact and becoming a leader on the ML team
- Develop state-of-the-art machine learning algorithms across computer vision, natural language understanding, and structured data problems to solve problems like medical document entity extraction and claim outcome prediction
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 at Welcome to the Jungle
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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