Sr. Engineering Manager, Machine Learning

About AKASAAt AKASA, our mission is to build the future of healthcare with AI. As the preeminent provider of generative AI solutions for the healthcare revenue cycle, we are solving the biggest challenges facing our customers’ financial infrastructure. We have raised more than $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.This is one of the most exciting times to join AKASA. Bookings for our new product suite have grown 10x since launching in Q3 of 2024, and we are just getting started. Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Stanford, Johns Hopkins, and Cleveland Clinic.Some of our most recent recognitions include being named one of the fastest-growing GenAI startups to watch by AIM Research and an “AI Revenue Cycle Leader” by Black Book in 17 out of 18 categories. 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 five years in a row, just to name a few.Come join us - everyone is welcome. As an inclusive workplace, we are committed to building an environment where AKASAns are comfortable bringing their authentic selves to work. About the RoleThis is an exciting opportunity to manage our Machine Learning Engineering (MLE) team. AKASA is a Machine Learning company from our inception. The combination of proprietary datasets, a talented research team, and customers that are eager to use LLMs sets up the MLE team for success. At its core, the MLE team has the exciting mandate of taking ML research improvements to production and ensuring that they create value for our customers. The ideal candidate for this role will be excited to collaborate across the stack, all the way from the research team to talking with users of our products.You will report to the VP of Engineering who oversees Machine Learning Engineering, Product Engineering, Core Platform Engineering, and Data Platform and Analytics.The AKASA office is located in South San Francisco. While we support remote work on a variety of teams, we have a strong Bay Area presence across the company. The local R&D teams come into the office every Wednesday for co-working days, which this role will be expected to attend.What You'll DoLead a talented team of engineers focused on improving AKASA’s machine learning capabilities and delivering cutting-edge productsSupervise and directly contribute across all parts of the LLM stack, including model fine-tuning, inference, evaluation, and deploymentDevelop infrastructure and tooling to improve the model development lifecycleOversee a high-performing team via hands-on contributions and coachingTranslate business requirements into technical designs that work within constraints such as latency, cost, performance, and uptimeSet the vision and direction for the team and attract top talent to join AKASASkills & QualificationsMS or PhD in Computer Science preferred, with an emphasis in Machine Learning 7+ years of work experience in Machine Learning 5+ years of people management experience, including building career development/growth plans, conducting performance reviews, and 1:1s with team members Hands-on experience fine-tuning and training models in-house in your most recent roleExperience working with LLMs, RAG, and embeddings Experience deploying trained LLMs to productionProficiency in Python, PyTorch, and KubernetesStrong management and mentorship skills, fostering a collaborative and innovative team cultureExcellent written and oral communication skills with an ability to articulate technical concepts clearly and succinctlyExcellent quantitative critical thinking skillsWhat We OfferUnlimited paid time off (PTO)Expansive coverage for health, dental, and visionEmployer contribution to Health Savings Accounts (HSA)Generous parental leave policyFull employee coverage for life insuranceCompany-paid holidays401(K) planCompensationBased on market data and other factors, the salary range for this position is $230,000 - $310,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.AKASA is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives, just to name a few. We do not discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. AKASA considers qualified applicants regardless of criminal histories in accordance with the San Francisco Fair Chance Ordinance.AKASA is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

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