About AKASA
AI-driven revenue cycle automation for healthcare
Key Highlights
- Raised $205 million in Series B funding
- Headquartered in South San Francisco, CA
- 201-500 employees focused on healthcare automation
- Unified Automation technology streamlining revenue cycles
AKASA, headquartered in South San Francisco, CA, is transforming the healthcare revenue cycle with its Unified Automation technology. The company has raised $205 million in Series B funding and employs between 201-500 people, leveraging AI and machine learning to streamline complex billing processes...
🎁 Benefits
AKASA offers an extensive benefits package including employer contributions to Health Savings Accounts (HSA), full coverage for health, dental, and vi...
🌟 Culture
AKASA's culture is defined by its commitment to solving the complexities of the US healthcare system through a unique blend of human and machine intel...
Machine Learning Engineer • Senior
AKASA • United States - Remote
Skills & Technologies
Overview
AKASA is hiring a Senior Machine Learning Engineer to build AI solutions for the healthcare revenue cycle. You'll work with Python, TensorFlow, and PyTorch to enhance clinical quality and documentation accuracy. This position requires significant experience in machine learning and data analysis.
Job Description
Who you are
You have 5+ years of experience in machine learning and data analysis, with a strong background in developing AI solutions that drive real-world impact in healthcare. Your expertise in Python and frameworks like TensorFlow and PyTorch allows you to build and optimize machine learning models effectively. You understand the intricacies of healthcare data and are passionate about using AI to improve patient care.
You possess excellent problem-solving skills and can communicate complex technical concepts to non-technical stakeholders. Your collaborative nature enables you to work effectively with cross-functional teams, including product managers and healthcare professionals, to deliver impactful solutions. You are committed to continuous learning and staying updated with the latest advancements in AI and machine learning.
What you'll do
As a Senior Machine Learning Engineer at AKASA, you will lead the development of generative AI solutions that enhance the healthcare revenue cycle. You will design and implement machine learning models that analyze clinical data, improving documentation accuracy and clinical quality. Collaborating closely with data scientists and engineers, you will ensure the seamless integration of AI solutions into existing systems.
You will also be responsible for conducting experiments to validate model performance and iterating on designs based on feedback and results. Your role will involve mentoring junior engineers and contributing to the overall growth of the machine learning team. You will have the opportunity to work on innovative projects that are recognized nationally for their impact on healthcare finance.
What we offer
AKASA provides a dynamic work environment where you can make a significant impact on the future of healthcare. We offer competitive compensation and benefits, including flexible work arrangements and opportunities for professional development. Join us in our mission to empower health systems with AI solutions that prioritize patient care and operational efficiency.
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