Sr. Software Engineer, Machine Learning


  • Job Type: Full-Time
  • Function: Engineering Software
  • Post Date: 04/28/2021
  • Website:
  • Company Address: 400 Oyster Point Blvd, South San Francisco, CA , 94080


At AKASA™ we believe every dollar spent on healthcare matters because healthcare matters to everyone. We’re on a mission to remedy the financial and operational complexity crippling healthcare in America.

Job Description

About Alpha Health
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 first 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 revenue cycle management.  Alpha Health’s Unified Automation 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: 
- The contracting process in healthcare typically averages nine months. Yet, in less than 12 months time, the team has landed multiple provider clients of all sizes across the US. 
- The team has also deployed at several of these customers, providing meaningful and measurable value within 90 days. 
We’ve built a cross-functional skill set deep into the DNA of the company. We have technology experts from the 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 of medical billers at some of the most 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. 
Our founding team includes Silicon Valley leaders who have founded or been founding team members of multiple companies with successful exits, including in excess of $350 million. 
We are expanding our team to support our work with existing customers as well as new customers.  If you love to execute, we’d love to hear from you.
Alpha Health is based in South San Francisco. As a company we embraced remote work opportunities before COVID-19. We consider ourselves experts in working collaboratively wherever our team members happen to reside.
As part of the ML team you will work alongside machine learning PhDs from top schools (e.g., Stanford), as well as experienced machine learning engineers from top companies (e.g., Google). You will be putting machine learning into practice, so your code directly affects our customers immediately. You will be working with large proprietary medical and clinical datasets containing both structured documents, natural language and images. 
What You'll Do
·       Participate in developing state-of-art machine learning solutions to address large scale healthcare problems
·       Design and build pipelines that collect, preprocess, and deliver data with a measurable quality
·       Write production-ready software with fast and efficient algorithms
Skills & Qualifications
·       5+ years of work experience in machine learning or data engineering
·       Must have experience launching production systems from the ground up
·       Strong proficiency in one or more programming languages such as Python and C++
·       Hands-on development experience with big data technologies such as SQL and AWS/Cloud Platform
·       Knowledge of machine learning frameworks such as Scikit-Learn, Keras, Tensorflow 
·       Full-stack development experience for an end to end machine learning solution preferred
·       Experience with Natural Language Processing or Computer Vision a plus
·       Strong communication and interpersonal skills with meticulous attention to detail

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.