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PrizePicks

Machine Learning Platform Engineer

RemoteUnited States only
Published
Role
AI / ML
Experience
Mid
Employment
Full-time
Company size
Mid-size
$155k–$185k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

ML Platform Engineer, 3+ years Platform Engineering and 1+ years owning ML systems in production. Must have streaming (Kafka/Flink/PubSub), low-latency inference and MLOps experience (SageMaker, VertexAI, Vector DBs, Graph DBs); expert Python and containerization (Docker, Kubernetes). Must be authorized to work in the U.S.; no visa sponsorship available.

Core skills

Kafka/Flink/PubSubFeature Store

Required skills

PythonGoSageMakerVertexAIVector DBsGraph DatabasesRedisElasticsearchDockerKubernetes

Optional skills

C++Rust

What you'll do

  • Design and build the end-to-end machine learning infrastructure, setup platform for transitioning experimental Data Science models into robust, high-availability production services.
  • Build automation to deploy low-latency services that serve model inferences in milliseconds to power real-time decisions across the platform.
  • Lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains.
  • Work with the Infrastructure team to build and operate core ML platform components for training and experimentation, focusing on developer experience.
  • Implement automated retraining pipelines and observability for ML systems to detect and address data drift and model degradation.

What they require

  • 3+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining a scalable ML platform in high-traffic production environments.
  • 1+ years of experience owning ML systems end-to-end in production, including on-call and incident response.
  • Experience with real-time data and streaming architectures (Kafka/Flink/PubSub) and building low-latency model inference services.
  • MLOps expertise with tools like SageMaker, VertexAI, Vector DBs, Graph Databases; experience managing and scaling caches like Redis or Elasticsearch.
  • Must be authorized to work for any employer in the U.S.; PrizePicks is unable to sponsor employment visas.

Benefits

  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • 16-week paid parental leave and disability benefits
  • Company equipment provided (Windows & Mac options)

PrizePicks is the fastest-growing sports company in North America, as recognized by Inc. 5000, and a leading platform for Daily Fantasy Sports covering leagues including NFL, NBA, League of Legends, and Counter-Strike.

🇺🇸 United StatesGamingMid-sizeprizepicks.com/

Details

Visa sponsorshipNo
$155k–$185k/yr