Machine Learning Platform Engineer
PrizePicks1 day ago
Remote, United States or Atlanta, GA, USAMid Level
Responsibilities
- Design and build scalable machine learning infrastructure that productionizes experimental data science models.
- Develop low-latency model inference services and deployment automation for real-time platform decisions.
- Create and optimize a centralized feature store combining batch historical data with real-time event streams.
- Build and operate ML platform components for training, experimentation, deployment, monitoring, and developer self-service.
- Implement automated retraining pipelines, observability, and controls for data drift and model degradation.
- Work with the Infrastructure team and participate in on-call and incident response for production ML systems.
Requirements
- At least 3 years of platform engineering experience deploying and maintaining scalable ML platforms in high-traffic production environments.
- At least 1 year of end-to-end production ML systems ownership, including on-call and incident response.
- Experience with real-time data, streaming architectures such as Kafka, Flink, or Pub/Sub, and model inference services delivering responses in under 100 milliseconds.
- Deep MLOps experience across model training, deployment, and monitoring using tools such as SageMaker, Vertex AI, vector databases, and graph databases.
- Experience managing and scaling Redis or Elasticsearch caches.
- Proficiency with Docker, Kubernetes, and cluster-level management.
- Expertise in Python and proficiency in Go; C++ or Rust experience is a strong plus.
- Experience building ML platform infrastructure, feature stores, self-service tooling for ML and data science teams, or AI-agent and AI-coding workflows is preferred.
- Experience in daily fantasy sports, oddsmaking, or high-frequency trading is preferred.
Benefits
- Company-subsidized medical, dental, and vision plans.
- 401(k) plan with company match, annual bonus, flexible PTO, and paid leave programs including 16 weeks of paid parental leave.
- Disability benefits, workplace flexibility, modern work schedules, company events and outings, and a lifestyle enhancement program.
- Company-provided equipment with Windows and Mac options, plus annual performance reviews and career development opportunities.
- Atlanta is preferred, but qualified applicants anywhere in the U.S. may be considered for remote work.
Tech Stack
Categories
About PrizePicks
PrizePicks builds a skill-based daily fantasy sports platform where fans make player projections across major leagues and esports in real time. The privately held company, founded in 2015 and headquartered in Atlanta, monetizes through entry fees and payouts on its mobile and web apps. It serves users across North America and is available on iOS, Android, and the web.