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Machine Learning Platform Engineer

Verasity🌍 Remote WorldwideEstimated: $80,000 - $120,000

ML Platform Engineer

About PrizePicks:

PrizePicks is the fastest-growing sports company in North America, recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a wide range of sports leagues and esports titles. Our team of over 550 employees thrives in an inclusive culture that values diverse backgrounds and perspectives, regardless of sports fandom.

The Role:

As an ML Platform Engineer, you will build and scale the ML platform at PrizePicks to productionize our core machine learning capabilities. Your work will directly impact key metrics such as Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.

What You’ll Do:

  • Build Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, setting up a platform for transitioning experimental Data Science models into robust, high-availability production services.
  • Real-Time Inference at Scale: Develop automation for deploying low-latency services to serve model inferences in milliseconds, powering real-time decisions across the platform, including dynamic oddsmaking, risk analysis, and smart deposit defaults.
  • Feature Engineering & Data Strategy: Lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains.
  • End-to-End MLOps: Collaborate with the Infrastructure team to build and operate core ML platform components for training and experimentation enablement, focusing on developer experience. Champion best practices for model deployment, monitoring, and CI/CD for ML. Implement automated retraining pipelines and observability for ML systems to ensure immediate detection and addressing of data drift and model degradation.

What You Have:

  • 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, proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in <100ms.
  • MLOps Expertise: Deep experience building a platform for managing the full ML lifecycle (training, deploying, monitoring) using tools like SageMaker, VertexAI, Vector DBs, Graph Databases. Experience managing and scaling caches like Redis or Elasticsearch.
  • Proficient with Containerization, Docker, Kubernetes, and cluster-level management.
  • Expert in Python, proficiency in Go. C++ or Rust is a strong plus for building high-performance inference layers.

What Makes You Stand Out:

  • Experience implementing infrastructure while enforcing best practices for ML Platform deployment.
  • Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
  • Experience building and scaling “Feature Stores” that bridge batch historical data with real-time event streams.
  • Enabling self-service for ML and Data Science teams for model development and deployment.
  • Enabling AI agents and AI coding for faster, iterative software development.

Where You’ll Live:

While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates (#LI-Remote).

Working at PrizePicks:

Compensation:

The typical salary range for this position is $135,000 - $160,000. Actual pay depends on your specific work location, skills, experience, and education. Your recruiter will discuss specific pay ranges during the hiring process.

Application Period:

This application period will remain open for 30 days. This date may be adjusted, and any changes will be reflected in this posting.

Date Posted: 6/5/2026

Benefits You’ll Receive:

  • Company-subsidized medical, dental, & vision plans.
  • 401(k) plan with company match.
  • Annual bonus.
  • Flexible PTO (2 weeks STRONGLY encouraged!).
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits.
  • Workplace flexibility and modern work schedules.
  • Company-wide in-person events and team outings.
  • Lifestyle enhancement program.
  • Company equipment provided (Windows & Mac options).
  • Annual performance reviews with opportunities for growth and career development.

Work Authorization:

You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Equal Opportunity Employer:

PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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Job Overview

Posted6/6/2026
CategoryAI & Machine Learning
SourceJobsCollider

FAQ

Is this position remote?

The Machine Learning Platform Engineer role is a remote opportunity. The location specified is Remote Worldwide.

What is the salary?

The salary is not explicitly stated, but is competitive and based on experience.

How do I apply?

You can apply by clicking the "Apply for this role" button above to submit your application on the hiring website.

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