Sr. Engineering Manager, Machine Learning

About AKASA

At 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 Role

This 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 Do

• Lead a talented team of engineers focused on improving AKASA’s machine learning capabilities and delivering cutting-edge products

• Supervise and directly contribute across all parts of the LLM stack, including model fine-tuning, inference, evaluation, and deployment

• Develop infrastructure and tooling to improve the model development lifecycle

• Oversee a high-performing team via hands-on contributions and coaching

• Translate business requirements into technical designs that work within constraints such as latency, cost, performance, and uptime

• Set the vision and direction for the team and attract top talent to join AKASA

Skills & Qualifications

• MS 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 role

• Experience working with LLMs, RAG, and embeddings 

• Experience deploying trained LLMs to production

• Proficiency in Python, PyTorch, and Kubernetes

• Strong management and mentorship skills, fostering a collaborative and innovative team culture

• Excellent written and oral communication skills with an ability to articulate technical concepts clearly and succinctly

• Excellent quantitative critical thinking skills

What We Offer

• 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

Compensation

• Based 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