Sr. Machine Learning Researcher

Sr. Machine Learning Researcher About AKASA At AKASA, our mission is to build the future of healthcare with AI. As the leading provider of generative AI solutions for the healthcare revenue cycle, we help health systems comprehensively capture and communicate the full patient clinical journey. By empowering health systems to streamline their operations, they can focus on what matters most - delivering quality patient care. We have raised over $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures. This is the most exciting time to join AKASA. Revenue bookings for our new AI-native product suite have grown over 20x since launching in 2024. In this time, we have broken our record for the largest deal in company history three times consecutively. This growth is driven by the massive improvement we are generating for our customers across clinical quality and documentation accuracy, both top priority areas for health system leaders. Our deployments have been recognized nationally as "one of the most comprehensive real-world uses of GenAI in healthcare finance to date" (link https://hitconsultant.net/2025/10/13/cleveland-clinic-deploys-genai-for-coding-and-cdi-across-enterprise-powered-by-akasa/). Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Cleveland Clinic, Duke, Stanford, and Johns Hopkins. Some of our recent recognitions include being named one of America's Top Startup Employers 2026 by Forbes, #1 most promising healthcare RCM startup of 2025 by Black Book Market Research, and one of the fastest-growing GenAI startups to watch by AIM Research. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report, and we have been certified as a “Great Place to Work” for the past 6 years in a row. We’re building on this momentum to redefine what’s possible in healthcare. We’re looking for exceptional people to help us accelerate that reality. About the Role As a Senior Machine Learning Researcher at AKASA, you’ll play a crucial role in pioneering advanced AI solutions that are transforming healthcare. You’ll collaborate closely with a talented team of PhD researchers, ML engineers, and healthcare experts to create models that directly enhance human efficiency and precision in complex operational workflows across the healthcare system. Our mission is to empower healthcare professionals with tools that amplify their capabilities, making them faster, more comprehensive, and more effective in their roles. At AKASA, our research and development balance cutting-edge LLM innovation with practical impact on healthcare operations. You’ll contribute to developing and adapting advanced language models, including pretraining and fine-tuning work on architectures like Llama. In this role, you’ll work end-to-end on model design, data creation, training, evaluation, and iteration, ensuring that your research advances not only our models but also the real-world tasks they support. You’ll have the opportunity to influence new research directions, support high-impact publications, and contribute directly to AKASA’s product offerings, bringing your work to life in tools used across healthcare systems. This is a US-based remote position with significant opportunities to impact healthcare through rigorous ML research and product innovation. We welcome candidates eager to advance AI’s role in healthcare within a collaborative, mission-driven environment. What You'll Do - 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. - Coll ... (truncated, view full listing at source)