Senior Machine Learning Engineer

Role Overview

As a Senior Machine Learning Engineer at Accompany Health, you will help transform healthcare through AI by building mission-critical products and enabling an end-to-end experience across fragmented care services.

Responsibilities

Technical Leadership

• Lead AI initiatives and collaborate with cross-functional teams to leverage data for model development and evaluation
• Design and implement scalable ML infrastructure and solutions with reliability and strong performance
• Establish data engineering best practices and standards to improve data accessibility

Data Strategy & Architecture

• Create and maintain an AI pipeline architecture with high observability and robust operational characteristics
• Champion responsible AI by implementing and reviewing models to maximize data value while ensuring fairness and equity
• Assemble large, complex datasets aligned with functional and strategic requirements

Collaboration & Enablement

• Partner with Executive, Product, Clinical, Data, and Design teams
• Identify and implement process improvements to improve efficiency and scalability
• Build tools that help analysts and data scientists build and optimize product capabilities

Quality & Innovation

• Develop efficient and reliable AI pipelines with monitoring and observability
• Navigate and optimize the data ecosystem to generate meaningful insights
• Implement evaluation frameworks and benchmarks to rigorously assess model performance, accuracy, and reliability

Requirements

• 5+ years of software engineering experience, focused on production-grade ML systems, backend infrastructure, and/or MLOps
• Graduate degree in Computer Science, Statistics, or a related quantitative field
• Strong proficiency in Python and SQL, with the ability to create efficient, maintainable ML code

Nice-to-haves

• Strong ability to articulate complex technical ideas and collaborate across teams in a remote environment (not explicitly listed, but emphasized as essential).