Senior Machine Learning Engineer

United StatesRemoteFull-timesenior

Data ScienceMachine Learning EngineerDataData & AI

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Quick Summary

Overview

Accompany Health is on a mission to give patients with complex needs the dignified, high-quality care they deserve but rarely receive. A primary, behavioral, and social care provider,

Technical Tools

Data ScienceMachine Learning EngineerDataData & AI

Accompany Health is on a mission to give patients with complex needs the dignified, high-quality care they deserve but rarely receive. A primary, behavioral, and social care provider, Accompany Health walks alongside patients for their entire care journey, offering at-home and virtual care, as well as 24/7 support. Partnering with innovative payors, Accompany Health is powered by remarkable care teams, elegant technology, and a commitment to evidence-based practice.

We build long-term relationships with our patients so they know, without question, that our team is here for them day or night, year after year. We focus on the health outcomes most important to our patients to make it clear that they lead the way.

To achieve our mission, we collaborate with community-based organizations, local providers, and health plans. Led by our empathetic care teams, guided by proven care models, and powered by our own technology, we deliver a level of service that our communities rightfully deserve but rarely receive.

While our headquarters is in Bethesda, MD, our teams are distributed across the country. If you’re eager to make a tangible difference in people’s lives, to help correct long-standing disparities in health care, join us.

About the role:

As a Senior Machine Learning Engineer for Accompany Health, you will help us transform healthcare through AI.

Mission-critical, be part of our growing team (and company).
Collaborate across the organization with various teams, including Product, Sales, and Clinical Operations, to rewire health care: Your choices will matter, and you will work across multiple teams to help execute the choices
Drive the change in healthcare: You will build the products to integrate highly fragmented and dispersed healthcare services as an end-to-end experience
Be part of building a great engineering culture, maintaining the balance and right tradeoff for building products for speed and tech debt

Technical Leadership

Drive AI initiatives and collaborate with teams to leverage data effectively through model development and evaluation

Design and implement scalable Machine Learning infrastructure and solutions, ensuring reliability and performance

Help establish data engineering best practices and promote standards that enhance data accessibility across teams

Data Strategy & Architecture

Create and maintain optimal AI pipeline architecture with high observability and robust operational characteristics

Champion responsible AI development by implementing and reviewing models that maximize data value while ensuring fairness and equity

Assemble large, complex data sets that address functional and strategic requirements

Collaboration & Enablement

Partner with other teams such as; Executive, Product, Clinical, Data, and Design

Identify, design, and implement process improvements to enhance efficiency and scalability

Create tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader

Quality & Innovation

Develop efficient, reliable AI pipelines with strong monitoring and observability

Navigate and optimize our data ecosystem to drive meaningful insights

Design and implement comprehensive evaluation frameworks and benchmarks to rigorously assess model performance, accuracy and reliability

Your entrepreneurial mindset and ability to articulate complex technical ideas will be essential as you collaborate across our remote team to solve novel problems at the intersection of AI and compassionate care delivery

Required

5+ years of software engineering experience, with a focus on building production-grade machine learning systems, backend infrastructure, or MLOps

Graduate degree in Computer Science, Statistics, or related quantitative field

Strong proficiency in Python and SQL, with the ability to create efficient and maintainable code for machine learning applications

Developing and maintaining ML pipelines for model training, evaluation, deployment (experience with tools like AWS Sagemaker or Bedrock is preferred)

Healthcare experience is valuable but not required

You have hands-on experience in:

Developing and implementing modern LLM models and transformers and deploying ML models in a production environment

Designing and implementing best practices for model versioning, experimentation, and reproducibility

Continuously improving our ML infrastructure for stability, scalability, observability, and security

Developing internal tooling and libraries to enhance ML workflow efficiency