Senior Engineering Manager, AKASA
Machine Learning
$230-310k
+ Equity
More information about location
1 day a week in office
AI-powered automation for the healthcare revenue cycle
Open for applications
AI-powered automation for the healthcare revenue cycle
201-500 employees
Open for applications
$230-310k
+ Equity
More information about location
1 day a week in office
201-500 employees
Company mission
To enable human health by building the future of healthcare with AI.
Role
Who you are
- 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 the job involves
- 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
- 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
Our take
The US healthcare system is both financially and operationally complex. It is estimated to cost patients and providers $500 billion annually in medical billing and insurance administrative expenses. AKASA, formerly Alpha Health, addresses this issue with its Unified Automation technology
The technology is designed to streamline revenue cycle operations by combining human expertise with AI-driven automation. It deploys machine-learning tools supported by revenue cycle specialists who can handle more complex cases and refine the algorithms.
This blend of human and machine intelligence is a stand-out approach, which could well serve as a blueprint for other sectors. Meanwhile, AKASA will continue to help reshape the healthcare industry by solving its complex operational challenges.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-17% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2024
$120m
SERIES C
Mar 2021
$60m
SERIES B
Total funding: $205m
Company benefits
- Unlimited paid time off (PTO)
- Expansive coverage for health, dental, and vision
- Employer contribution to Health Savings Accounts (HSA)
- Generous parent leave policy
- Full employee coverage for life insurance
- Company-paid holidays
- 401(K) plan
Company HQ
The East Side, South San Francisco, CA
Leadership
Malinka Walaliyadde
(Co-Founder & CEO)Previously worked at Andreessen Horowitz (a16z), Counsyl and Corning Life Sciences. They have an Engineering degree from Cornell University.
Varun Ganapathi
(Co-Founder & CTO)They have successfully started two AI companies prior to AKASA. One was acquired by Google and the other by Udacity.
Andy Atwal
(Co-Founder & VP of Engineering)Prior to AKASA, they were the founding Software Engineer at Counsyl, a health technology company offering DNA screenings for various diseases.
Ben Beadle-Ryby
(Co-Founder)Previously, they were a Partner at the Advisory Board Company, where they oversaw revenue cycle consulting and technology.
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