Senior Machine Learning Researcher at Akasa

About AKASA

We're on a mission to remedy the financial complexity crippling healthcare in America. 

Our aim is to organize and use all healthcare information to reduce the cost of care and improve the patient experience. 

As the only Unified Automation™ company for healthcare, we use the same machine learning approaches that made driverless cars possible to provide health systems with a single solution for core operational management. AKASA's unique expert-in-the-loop approach, Unified Automation, combines modern machine learning with human judgment and subject matter expertise to provide resilient automation. AKASA brings together the best of people, data and technology to efficiently, accurately and autonomously navigate the complex state of medical reimbursement in the United States. 

We are growing rapidly and we've built a cross-functional skill set deep into the DNA of the company. We have technology experts from top Silicon Valley technology companies (Google, Facebook, etc) and machine learning PhD programs (Stanford, etc). We also have senior leaders from the frontlines of healthcare with decades of experience leading teams at prominent healthcare institutions in the US. And we have a deep bench of talent from healthcare services firms like the Advisory Board, Optum and Triage Consulting. 

If you love to execute, we'd love to hear from you. We take a very mindful approach to building a culture that is flexible, diverse and inclusive. We approach our work thoughtfully, learn quickly, improve constantly, and celebrate our wins. Everyone is welcome — as an inclusive workplace, our employees are comfortable bringing their authentic whole selves to work. Be you.

About the Role
 
As a remote Senior Machine Learning Researcher, you'll report to our CTO and work with machine learning PhDs from top schools (e.g., Stanford), and experienced machine learning engineers from top companies (e.g., Google).
 
Read our first two research publications about ​Autonomous Medical Coding​and using ​Deep Learning for Payer Response Prediction​ for more information on our previous work.
 
AKASA is based in South San Francisco. As a company, we embraced remote work before COVID-19. We consider ourselves experts in working collaboratively wherever our team members happen to reside.


What You'll Do

Create innovative AI/ML solutions to address real-world human health and healthcare problems
Contribute to AKASA’s drive to be on the cutting edge of technology through the publications and patents
Keep up to date with the advancement within the AI/ML community and decide when those developments warrant incorporation



Skills & Qualifications

A passion for working on important and impactful human health and healthcare problems
Ph.D. focused on ML or relevant publications or experience in fields related to AI,computer vision, natural language processing, computational neuroscience, optimization, computer science, statistics, applied mathematics, or data science.
First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, NAACL, and EMNLP) are preferred.
Experience in rapid prototyping and quick experimentation and proficient in writing code that others can understand, adapt and extend
Ability to multitask effectively under pressure and easily adapt within a fast-paced environment with strong written and verbal communication skills



What We Offer

Work with an experienced and complementary founding team consisting of serial entrepreneurs, AI experts and healthcare industry leaders
Meaningfully own or contribute to category-defining products that fundamentally change healthcare operations
Great compensation package and equity grants
Generous coverage for health, dental and vision insurance
Full employer coverage for life insurance
401k Plan
Free membership to One Medical (Concierge Clinic) for you and your family (if you are in a region covered by One Medical)
Flexible schedules and personal time off (PTO)
Paid company holidays and bonus “Wellness Days”


We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.