Remote Senior Machine Learning Engineer I at Spring Health

Description:

Spring Health is seeking a Senior Machine Learning Engineer to join the AI Foundations team.
The role involves building and enhancing models for Spring Health's precision mental health engine and developing the Spring AI platform.
Responsibilities include contributing to algorithm development, creating data-centric product features, and building an AI Platform to support new data products.
Success in this role is defined by launching new recommender system products, creating data products using GenerativeAI, and collaborating with data science teams to bring prototype models to production.
The ideal candidate will have a degree in a STEM, Economics, or related quantitative field, with at least 3 years of commercial experience in a ML engineer role.
Proficiency in Python, SQL, Pytorch, Scikit-Learn, building data pipelines, deploying and managing model endpoints, and GenAI workflows is required.

Degree in a STEM, Economics, or related quantitative field.
At least 3 years of commercial experience in a ML engineer role.
Proficiency in Python, SQL, Pytorch, Scikit-Learn.
Experience building data pipelines, deploying and managing model endpoints, and GenAI workflows.

Competitive base salary range of $159,100 - $194,150, with stock options and benefits.
Health, Dental, Vision benefits starting on the first day, HSA and FSA plans available.
Yearly allotment of no cost visits to therapists, coaches, and medication management providers.
Flexible paid time off, 12 paid holidays, and access to Gympass for wellbeing coaching.
4-4.5 months of fully paid parental leave and sponsored access to child care and elder care.
Financial support through benchmarked salaries, incentive pay, equity, and 401(k) match.
Flexible work arrangements, Focus Fridays, Focus Weeks, and Professional Development Reimbursement.
Donation matching, sabbatical leave after four years, and a culture focused on transparency, integrity, and innovation.