Sr. Machine Learning Researcher

AKASA(2 months ago)

RemoteFull TimeSenior$137,356 - $185,543 (estimated)Engineering

About this role

As a Senior Machine Learning Researcher at AKASA, you will lead the development and evaluation of advanced AI models specifically designed to address challenges in the healthcare domain, with a focus on clinical natural language understanding. Collaborating with PhD researchers, ML engineers, and healthcare professionals, you'll leverage human-in-the-loop feedback to enhance model performance while ensuring real-world applicability. Your work will involve end-to-end model design, training, and iteration, and you'll have the opportunity to contribute to influential publications that advance the role of AI in healthcare.

View Original Listing

Required Skills

Machine Learning Research
Drive Applied Research
Leverage Human-in-the-Loop
Collaborate Across Teams
Stay on Cutting Edge
Contribute to Broader Impact
AI Solutions
Natural Language Understanding
Model Design
Data Creation

+9 more

Qualifications

Ph.D. or equivalent industry experience in fields related to machine learning, natural language processing, computer vision, computer science, electrical engineering, statistics, mathematics, optimization, or data science
2-3 years of experience
Peer-reviewed publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, NAACL, and EMNLP) strongly preferred

About AKASA

akasa.com

AKASA is a leading provider of generative AI solutions designed specifically for healthcare revenue cycle management. By leveraging advanced AI technologies, AKASA streamlines processes such as prior authorization, clinical documentation improvement (CDI), coding, and claims management, ultimately improving efficiency and financial outcomes for healthcare organizations. The company focuses on using AI to reduce denials, enhance margins, and empower revenue cycle teams, making it a critical partner for health systems aiming to optimize their operations.