Eliminating barriers to mental healthcare. Clinically-proven technology with world-class providers to deliver precisely what your employees need.
About the role
The target base salary range for this position is $183,000 - $205,500 , and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.
What they're looking for
- Collaborate to build and scale our AI platform, tooling, and best practices, enabling the rapid deployment of GenAI capabilities across the organization
- Monitor and maintain the uptime of critical AI and ML tools to ensure high availability for key platform features
- Contribute to backlog prioritization by identifying high-impact engineering opportunities that drive internal adoption of our centralized AI platform
- Act as a technical advocate for the team by participating in on-call rotations, hosting internal office hours, and contributing to cross-functional AI working groups
- Lead refactoring initiatives for key platform services to establish and enforce centralized coding standards for engineering contributors
- Partner with machine learning teams to consult on and periodically modernize MLOps best practices
More about this role
Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.
Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.
As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.
Reporting to the Senior Engineering Manager of the AI & ML Platform team, this Senior Machine Learning Engineer will play a key part in building and scaling a centralized AI platform (services, tools, best practices, and more) that powers our care capabilities. This role is...
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