Senior Machine Learning Engineer I, AI & ML Platform
Spring Health2 months ago
Base Salary
$183k - $206k/yr
Responsibilities
- Build and scale the centralized AI platform, tooling, and best practices to enable rapid deployment of GenAI capabilities.
- Monitor and maintain uptime and high availability for critical AI and ML platform tools.
- Identify high-impact engineering opportunities and contribute to backlog prioritization and internal platform adoption.
- Participate in on-call rotations, host internal office hours, and contribute to cross-functional AI working groups.
- Lead refactoring initiatives and establish centralized coding standards for engineering contributors.
- Consult with machine learning teams and modernize MLOps best practices.
- Partner with feature teams as a technical consultant to accelerate adoption of AI and ML platform offerings.
- Troubleshoot and debug AWS, Azure, and Kubernetes infrastructure issues.
- Optimize processes across feature development, operational support, and internal consultations.
- Meet internal support SLAs, reduce GenAI feature time-to-production, and improve internal engineering NPS.
Requirements
- A degree in Computer Science, Data Science, or a related field focused on Artificial Intelligence and Machine Learning.
- Four to six years of Python development experience with GenAI and ML libraries and frameworks.
- Experience maintaining and configuring third-party and in-house engineering tools, including deploying them within Kubernetes.
- Experience driving adoption of generalized platforms and improving internal Developer Experience.
- Ability to architect full-project solutions as a technical lead in an enterprise environment while considering project and organizational constraints.
- Ability to mentor junior engineers and communicate complex technical concepts to technical and non-technical audiences.
- Nice to have experience with MLOps and machine learning model creation and deployment.
- Nice to have experience in DevOps-style operations, on-call rotations, and cloud infrastructure management.
- Nice to have experience debugging AWS or Azure environments and Kubernetes clusters.
- Nice to have one to two years of Ruby on Rails experience.
Benefits
- Health, dental, and vision benefits begin on the first day, with One Medical access and HSA/FSA options including employer HSA contributions up to $1,000 depending on plan.
- Employer-sponsored 401(k) match of up to 2%.
- Yearly allotment of no-cost visits to Spring Health therapists, coaches, and medication management providers for employees and dependents.
- Paid vacation, sick leave, and company holidays.
- Parental leave after six months of tenure: 18 weeks for birthing parents and 16 weeks for non-birthing parents.
- Access to Noom, Carrot fertility care support with up to $4,000 reimbursement, Wellhub, and BrightHorizons.
- Up to $1,000 per year for professional development reimbursement.
- $200 per year in donation matching.
- Hybrid role based in San Francisco, requiring office attendance two to three days per week, with occasional team on-site travel; candidates must be local or relocate within 90 days.
Tech Stack
Categories
About Spring Health
Spring Health provides employers and health plans with a behavioral-health benefits platform that triages members and delivers care via self-guided tools, coaching, therapy, psychiatry, and EAP services. The service uses assessments and machine learning to match people to care and includes Care Navigators who coordinate appointments and community resources. Founded in 2016 and headquartered in New York City, the privately held company has outcomes independently validated by JAMA Network Open and the Validation Institute.