Staff ML Engineer: Build Production-Grade ML Platform

Sprinter Health; United States; On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Free lunch

Microkitchens & coffee bar

Team offsites

Health insurance

Dental & Vision

401k matching

Unlimited PTO

Flexible WFH policy

Relocation assistance

Parental leave

Job summary

Sprinter Health is seeking a Staff Machine Learning Engineer to be our first dedicated ML engineering hire and to define the blueprint for moving ML from prototype to production. You will build end-to-end training and inference pipelines, APIs for serving predictions, and the observability needed to catch drift and data quality issues before they impact patients.

As the function grows, you will shape the platform, set the technical bar, mentor engineers, and guide build-vs-buy decisions and

Qualifications

Responsibilities

• Build end-to-end training and inference pipelines.
• Create APIs for serving predictions and batch jobs.
• Establish observability, monitoring for drift and data quality issues.
• Define and enforce governance, retraining, deployment standards.

Skills

ML engineering

production systems

APIs

Monitoring

Model governance

Pipelines

Observability

Job description

Sprinter Health is seeking a Staff Machine Learning Engineer to be our first dedicated ML engineering hire and to define the blueprint for moving ML from prototype to production. You will build end-to-end training and inference pipelines, APIs for serving predictions, and the observability needed to catch drift and data quality issues before they impact patients.

As the function grows, you will shape the platform, set the technical bar, mentor engineers, and guide build-vs-buy decisions and