PrizePicks

Staff Machine Learning Engineer

Atlanta, GA preferred, Remote · Staff+ · Full-time

No sponsorship$220k-$280kDetected 1 day ago

PythonGoC++SQLBigQueryDatabricksAWSGCPCI/CDKafkaMachine LearningData ScienceMLOpsPerformance ManagementLeadership

About the role

Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom.
Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.

Real-Time Inference at Scale: Steer the design and deployment of low-latency services to serve model inferences in milliseconds. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
End-to-End MLOps Leadership: Champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability tools to ensure data drift and model degradation are caught and addressed instantly.
3+ years of technical leadership, acting as a lead and driving architecture decisions for consumer applications or scalable backend platforms.
Experience building and scaling "Feature Stores" that successfully bridge batch historical data with real-time event streams.

You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains.
Deep experience with GCP services (BigQuery, Cloud Functions, GKE, Vertex AI) or AWS equivalents.
Experience with Real-Time Data: Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in
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.

proficiency in Go, C++, or Rust is a strong plus for building high-performance inference layers.
Strong Coding Skills: Expert in Python and SQL

Cloud Native: Deep experience with GCP services (BigQuery, Cloud Functions, GKE, Vertex AI) or AWS equivalents.
Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detection.
Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
Where you'll live:
Working at PrizePicks:
The typical salary range for this position is $220,000 to $280,000.
Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education.

The typical salary range for this position is $220,000 to $280,000.
At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges.
The compensation info you see on our job postings gives you an idea of the starting pay range for the position.
Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education.
Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
Annual performance reviews with opportunities for growth and career development

Company-subsidized medical, dental, & vision plans
Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
Generous paid leave programs, including 16-week paid parental leave and disability benefits
All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Architect Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, transitioning experimental Data Science models into robust, high-availability production services.
7+ years of experience in Machine Learning Engineering or Backend Engineering, with a proven track record of deploying and maintaining complex ML models in high-traffic production environments.

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc.
As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike.
Ready to reimagine the DFS industry together?
As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities.
Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.
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
What makes you stand out:

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.

This listing is sourced directly from PrizePicks's careers page and normalized into a canonical job model.