Machine Learning Platform Engineer
PrizePicksabout 5 hours ago
Remote, Worldwide or Atlanta, GA, USAMid Level / Senior
Base Salary
$135k - $160k/yr
Responsibilities
- Design and build end-to-end machine learning infrastructure.
- Automate deployment of low-latency services for real-time model inferences.
- Lead the creation and optimization of a centralized feature store.
- Collaborate with the Infrastructure team on core ML platform components.
- Implement automated retraining pipelines and observability for ML systems.
Requirements
- 3+ years of experience in Platform Engineering with a focus on scalable ML platforms.
- 1+ years of experience managing ML systems end-to-end in production.
- Proficient in real-time data streaming architectures and low-latency service deployment.
- Deep experience in MLOps and managing the full ML lifecycle.
- Proficient with containerization technologies like Docker and Kubernetes.
- Expert in Python, with proficiency in Go, C++, or Rust as a plus.
Benefits
- Company-subsidized medical, dental, and vision plans.
- 401(k) plan with company match.
- Annual bonus.
- Flexible PTO to encourage work/life balance.
- Generous paid leave programs, including 16-week paid parental leave.
- Workplace flexibility with modern work schedules.
- Company-wide in-person events and team outings.
- Lifestyle enhancement program.
- Company equipment provided (Windows & Mac options).
- Annual performance reviews with growth opportunities.