Principal Machine Learning Engineer
Remote
Full Time
#Engineering
#Machine Learning
#Python
#SQL
#AWS Sagemaker
#Data Engineering
At Accompany Health, we are dedicated to providing dignified, high-quality care to low-income patients who have complex medical and social needs. As a primary, behavioral, and social care provider, we walk alongside our patients throughout their entire care journey, offering virtual and at-home support around the clock. We believe in building long-term relationships, focusing on the health outcomes that matter most to the individuals we serve. By combining evidence-based practices with elegant technology and compassionate care teams, we aim to correct long-standing disparities in the healthcare system. If you are passionate about making a tangible impact on people's lives and want to help us reshape the future of healthcare, we would love to have you join our distributed team.
About the Role
We are looking for a Principal Machine Learning Engineer to join our team on a full-time basis. In this role, you will be instrumental in transforming healthcare through the application of artificial intelligence. You will work across various departments, including product, sales, and clinical operations, to build end-to-end experiences that integrate fragmented healthcare services. This is a senior-level position where you will help shape our engineering culture, balancing the need for rapid product development with the management of technical debt.
Key Responsibilities
- Lead the technical design and implementation of reliable, scalable machine learning infrastructure and software solutions that serve both internal and external customers.
- Act as an AI champion within the organization, providing technical leadership to develop best practices for data engineering and model development.
- Build and maintain robust AI pipeline architectures that feature high observability, strong monitoring capabilities, and a focus on fairness and equity.
Requirements
To be successful in this role, you should possess the following qualifications and skills:
- At least 5 years of experience in data engineering, with a minimum of 3 years specifically focused on machine learning.
- A graduate degree in Computer Science, Statistics, or a related quantitative field.
- Hands-on expertise in developing and deploying machine learning models in production environments.
- Proficiency in Python and SQL, with a proven ability to write maintainable code for machine learning applications.
- Experience with modern LLM models, transformers, and ML pipeline tools such as AWS Sagemaker or Bedrock.
- An entrepreneurial spirit and the ability to communicate complex ideas with clarity and confidence within a remote, collaborative environment.
Location
This position is remote and can be performed from anywhere.
Compensation and Benefits
We are committed to supporting our team members through a flexible work environment. This role offers the following benefit:
- Remote work flexibility.
