Senior Machine Learning Researcher

3 days ago

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AKASA

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Healthcare Insurance • Artificial Intelligence • Finance

AKASA is a leading provider of generative AI solutions specifically designed for the healthcare revenue cycle. The company focuses on transforming revenue cycle management (RCM) by leveraging advanced generative AI trained on clinical and financial data. AKASA aims to improve the efficiency and effectiveness of healthcare revenue cycles by speeding up processes, reducing costs, and enhancing patient satisfaction. Their AI-powered solutions address key areas such as medical coding, claim status, and authorization. AKASA’s platform is deployed across numerous hospitals and outpatient facilities, providing significant improvements in financial operations and staff efficiency for health systems.

201 - 500 employees

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

💸 Finance

📋 Description

• Drive Applied Research: Lead the design, training, and evaluation of large language models to solve healthcare-specific challenges, advancing the state of the art in clinical Natural Language Understanding. • Leverage Human-in-the-Loop Feedback: Work closely with cross-functional teams to integrate Human-in-the-Loop data, using it to guide model improvements and explore new methods for optimizing performance. • Collaborate Across Teams: Partner with healthcare experts and other stakeholders to integrate qualitative insights, ensuring models align with real-world needs and deliver meaningful results. • Stay on the Cutting Edge: Regularly evaluate advancements in ML to determine their relevance to our work, maintaining AKASA’s leading edge in responsible, high-impact healthcare AI. • Contribute to Broader Impact: Publish and share research findings in the broader AI community, helping to advance healthcare applications of AI through peer-reviewed publications.

🎯 Requirements

• A passion for tackling meaningful healthcare challenges and leveraging AI to make a positive impact on the healthcare system. • Proven experience training and fine-tuning large language models, with expertise in model architecture, optimization techniques, and performance evaluation. Experience with modeling in the healthcare domain, clinical natural language understanding, and healthcare data and data standards (e.g., EDI, FHIR) is strongly preferred. • 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, plus 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. • Strong programming skills in Python, with proficiency in deep learning frameworks and tools such as PyTorch, TensorFlow, PyTorch Lightning, Hugging Face Transformers, and Kubernetes/Kubeflow, as well as experience with cloud platforms (AWS, GCP) and multi-GPU environments. • A track record of translating research into real-world applications, with experience in rapid prototyping, experimentation, and writing production-ready code. • Ability to work effectively in a cross-functional, fast-paced environment, with strong written and verbal communication skills.

🏖️ Benefits

• 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 holidays • 401(K) plan