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About the Role

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 part of the AI & ML Platform team and is instrumental in stewardship of a shared foundation of AI and ML development at Spring Health.

Responsibilities

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.
Drive cross-team collaboration to accelerate the adoption of AI and ML platform offerings, serving as a technical partner and consultant to feature teams.
Troubleshoot and debug cloud (AWS and Azure) and Kubernetes (K8s) infrastructure issues to ensure the reliability and availability of platform services.
Identify and recommend process optimizations to help the team effectively balance feature development, operational support, and internal consultations.

Requirements

Degree in Computer Science, Data Science, or a related field with a focus on Artificial Intelligence and Machine Learning.
4-6 years of Python development experience with GenAI and ML libraries and frameworks (such as LangChain, Pydantic, Scikit-Learn, and more).
Experience maintaining and configuring engineering tools (third-party and in-house built), including deployment within a Kubernetes stack.
Experience driving the adoption of generalized platforms with a continuous focus on improving internal Developer Experience (DX).
Demonstrated ability to architect solutions for a full project as a lead prior to implementing a new feature, software, or tool in an enterprise environment while keeping project and organization constraints in mind.
Demonstrated ability to mentor junior engineers and communicate complex technical ideas effectively to both technical and non-technical audiences to create buy-in and alignment.
Experience with MLOps and best practices for creating and deploying machine learning models.
Background in a DevOps-style operational environment, including on-call rotations and cloud infrastructure management.
Experience debugging and resolving issues within cloud environments (such as AWS or Azure) and Kubernetes clusters.
1-2 years of Ruby on Rails experience

Skills

Python
GenAI
ML libraries and frameworks
LangChain
Pydantic
Scikit-Learn
Kubernetes
AWS
Azure
MLOps
DevOps
Ruby on Rails

Location

San Francisco

Work Type

Hybrid
Onsite

Experience Level

Senior
4-6 years
1-2 years

Education Level

Degree in Computer Science, Data Science, or a related field with a focus on Artificial Intelligence and Machine Learning.

Salary/Compensations

$183,000 - $205,500

Benefits

Stock options
Health, Dental, Vision benefits start on your first day
Access to One Medical accounts
HSA and FSA plans available
Spring contributing up to $1K for HSAs
Employer sponsored 401(k) match of up to 2%
Yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents
Competitive paid time off policies including vacation, sick leave and company holidays
Parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents at 6 months tenure
Access to Noom, a weight management program
Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses
Access to Wellhub
Access to BrightHorizons for sponsored child care, back-up care, and elder care
Up to $1,000 Professional Development Reimbursement a year
$200 per year donation matching

About the Company

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.

Equal Opportunity

Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic.
We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements.
Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans.
If you have a disability or special need that requires accommodation, please let us know.