Sr. Engineering Manager, Machine Learning

📋 Description

• • AKASA is at the forefront of revolutionizing healthcare's revenue cycle through the power of Artificial Intelligence, specifically leveraging generative AI to capture and communicate the complete patient clinical journey. As a Sr. Engineering Manager, Machine Learning, you will play a pivotal role in shaping the future of our AI-driven healthcare solutions. This is a unique opportunity to lead a high-caliber Machine Learning Engineering (MLE) team, driving innovation from research breakthroughs to production-ready, value-generating products for our customers.
• • You will report directly to the VP of Engineering, overseeing a critical function that bridges cutting-edge ML research with tangible customer impact. The MLE team is central to AKASA's mission, building upon proprietary datasets, a brilliant research team, and a strong customer demand for LLM applications. Your leadership will be instrumental in ensuring these advancements translate into real-world benefits, streamlining operations for health systems and enabling them to focus on delivering exceptional patient care.
• • Your responsibilities will span the entire machine learning lifecycle. This includes hands-on supervision and contribution to model fine-tuning, inference optimization, rigorous evaluation processes, and seamless deployment into production environments. You will be instrumental in developing and refining the infrastructure and tooling that underpins our model development lifecycle, ensuring efficiency, scalability, and robustness.
• • A key aspect of this role is fostering a high-performing team through effective leadership, mentorship, and direct, hands-on contributions. You will be responsible for translating complex business requirements into robust technical designs, meticulously considering and balancing constraints such as latency, cost, performance, and uptime. This requires a deep understanding of both the technical intricacies of ML systems and the business objectives they serve.
• • You will be tasked with setting the strategic vision and direction for the MLE team, identifying opportunities for growth and innovation. This includes actively participating in talent acquisition, attracting and retaining top-tier engineering talent to join AKASA's mission. Building and nurturing a collaborative, innovative, and inclusive team culture is paramount.
• • Collaboration is key to success at AKASA. You will work closely with the research team to integrate their latest advancements, and engage with product teams and even end-users to ensure our ML solutions meet and exceed customer expectations. This cross-functional collaboration extends across the entire engineering organization, including Product Engineering, Core Platform Engineering, and Data Platform and Analytics.
• • While AKASA supports remote work, we maintain a strong Bay Area presence. This role requires attendance at in-office co-working days every Wednesday, fostering team cohesion and collaborative problem-solving. This hybrid approach ensures the benefits of remote flexibility while maintaining the advantages of in-person interaction for critical team activities.
• • The impact of your work will be significant. AKASA's AI-native product suite has seen explosive growth, with revenue bookings increasing over 20x since its 2024 launch. Our solutions are recognized nationally for their comprehensive use of GenAI in healthcare finance, empowering leading health systems like Cleveland Clinic, Duke, Stanford, and Johns Hopkins. By joining AKASA, you will contribute to redefining the possibilities in healthcare AI and be part of a company recognized for its innovation, growth, and commitment to being a great place to work.
• • This role offers the chance to lead a team that is directly responsible for the core technology driving AKASA's success. You will guide the engineering efforts that ensure our machine learning models are not only state-of-the-art but also reliably deployed and scaled to serve a rapidly growing customer base. Your leadership will directly influence the quality, performance, and value delivered by our AI solutions in the critical healthcare revenue cycle domain.
• • You will champion best practices in machine learning engineering, from model development and validation to deployment and monitoring. This includes establishing clear metrics for success, ensuring the ethical and responsible use of AI, and driving continuous improvement across the team's processes and outputs. Your ability to mentor and develop engineers will be crucial in building a sustainable and high-achieving team capable of tackling complex challenges.
• • The ideal candidate will possess a strong blend of technical expertise in machine learning, proven people management skills, and a strategic mindset. You should be comfortable navigating the complexities of deploying large language models and related technologies in a production environment, understanding the trade-offs involved in achieving optimal performance, cost-efficiency, and reliability. Your leadership will be key to AKASA's continued success and its mission to transform healthcare through AI.