Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The position is onsite in South San Francisco with hybrid options and Wednesday co-working days.
This information is not specified in the job description.
This information is not specified in the job description.
AKASA is recognized for its positive employee culture, inclusive workplace where employees can bring their authentic selves, and has won awards like 'America’s Best Startup Employers,' 'Best Places to Work,' and 'Great Place to Work' for 4 years.
You will report to the VP of Engineering and collaborate with machine learning PhDs and experienced engineers.
Automates revenue cycle management processes
AKASA offers technology solutions that enhance efficiency and revenue outcomes for healthcare organizations by using a mix of computer vision-based Robotic Process Automation (RPA), machine learning, and human-in-the-loop automation. Their services streamline complex Revenue Cycle Management (RCM) workflows, allowing healthcare staff to focus on more meaningful tasks. Unlike competitors, AKASA specifically targets operational inefficiencies in revenue cycle departments, helping clients like Methodist Health System achieve significant gross yield increases. The company's goal is to empower healthcare organizations to improve their operational efficiency and patient experience.