Senior Machine Learning Researcher

November 13, 2024

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AKASA

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AKASA is a leader in providing generative AI solutions for the healthcare revenue cycle. Leveraging advanced AI technology, AKASA's platform is designed to improve revenue cycle management (RCM) by reducing denials, improving margins, and increasing revenue for health systems. Their GenAI solutions, which are trained on clinical and financial data, enhance efficiencies in authorization, medical coding, claim status, and claim attachment. AKASA's expertise and innovative approach offer healthcare organizations faster speed-to-value and decreased cost-to-collect, ultimately empowering staff and improving patient satisfaction.

AI • Machine Learning • Revenue Cycle Management • Hospital Operations • Healthcare

51 - 200 employees

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• AKASA is the preeminent provider of generative AI solutions for the healthcare revenue cycle. • Join us in pioneering advanced AI solutions that are transforming healthcare. • Collaborate with PhD researchers, ML engineers, and healthcare experts on models that enhance efficiency. • Contribute to developing and adapting advanced language models, ensuring research impacts healthcare operations. • Influence research directions, support publications, and contribute to AKASA’s product offerings.

🎯 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