Senior Machine Learning Platform Engineer

PrizePicks

Remote, US
Base: $160,000 to $210,000; bonus/equity: not spec...
Remote
5+ years platform engineering experience
2+ years owning ml systems in production
Real-time streaming architecture expertise
PrizePicks is seeking a Senior Machine Learning Platform Engineer to build and scale their machine learning capabilities for their Daily Fantasy Sports platform. The position is remote and offers a competitive salary, aiming to enhance real-time decision-making and infrastructure for machine learning systems

Job Summary

  • The role involves building the end-to-end machine learning infrastructure to transition experimental models into robust, high-availability production services.
  • Candidates will power real-time decisions across the platform including dynamic oddsmaking and risk analysis by serving model inferences in milliseconds.
  • The position offers a competitive salary range of $160,000 to $210,000 with full-time benefits and an inclusive culture for diverse backgrounds.

Matching Summary

Match Score: 85

PrizePicks is seeking a Senior Machine Learning Platform Engineer to build and scale their machine learning capabilities for their Daily Fantasy Sports platform. The position is remote and offers a competitive salary, aiming to enhance real-time decision-making and infrastructure for machine learning systems.

Salary

Base: $160,000 to $210,000; Bonus/Equity: Not specified; Benefits: Full-time benefits package included

Skills & Requirements

Must-have

  • 5+ years platform engineering experience
  • 2+ years owning ML systems in production
  • Real-time streaming architecture expertise
  • Kafka Flink PubSub proficiency
  • Low-latency model inference under 100ms
  • Docker Kubernetes containerization skills
  • Python Go C++ or Rust programming

Nice-to-have

  • Background in daily fantasy sports or oddsmaking
  • Experience with high-frequency trading systems
  • Feature store implementation at scale
  • Self-service enablement for data science teams
  • AI agent and AI coding integration experience

Key Requirements

  • 5+ years Platform Engineering experience
  • 2+ years ML system ownership in production
  • Proficiency in Python with Go/C++/Rust as plus
  • Experience with SageMaker VertexAI Vector DBs
  • Knowledge of Redis Elasticsearch caching layers

Work Rights

Not specified

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