PrizePicks · 8 hours ago
Staff Machine Learning Engineer: Personalization
United States
Full-time
Remote
Senior Level, Lead/Staff
$220K/yr - $280K/yr
7+ years expPrizePicks is the fastest-growing sports company in North America, recognized for its innovative approach to Daily Fantasy Sports. As a Staff Machine Learning Engineer focusing on Personalization, you will lead efforts to enhance user experience through advanced machine learning techniques aimed at delivering personalized content.
Fantasy SportsGamingSports
No H1B
Responsibilities
Architect the Hybrid Engine: Design and build the "Project Bridge" architecture, transitioning the platform from heuristic-based logic (Cohort/Geo-based) to fully real-time ML personalization (Vector Search/Neural Networks)
Real-Time Inference at Scale: Steer the design and deployment of low-latency services (Segment Service & User Profile Service) using Redis/DynamoDB to serve personalized board orderings, deposit defaults, and "For You" feeds in milliseconds
Feature Engineering & Data Strategy: Partner with Data Science to build the logging pipelines that tag why a user saw an item (data labeling). You will create the feature store required to train future neural networks for individual-level personalization
Solve the "Cold Start" Problem: Implement logic for dynamic league ordering and deposit smart-defaults based on geospatial data and initial user cohorts, ensuring immediate relevance for new users
Qualification
Required
7+ years of experience in Backend/ML Engineering with a specific focus on Recommendation Systems (RecSys) or Personalization engines in production
3+ years of technical leadership, acting as a lead and driving architecture decisions for high-traffic consumer applications
Experience with Real-Time Data: Proficient in streaming architectures (Kafka/PubSub) and low-latency lookups (Redis, DynamoDB) to serve model inference in <200ms
MLOps Experience: Experience with the full ML lifecycle (training, deploying, monitoring) using tools like MLFlow, Kubeflow, or Databricks
Strong Coding Skills: Expert in Python and SQL; proficiency in Go or Rust is a strong plus for high-performance inference layers
Cloud Native: Deep experience with GCP services (BigQuery, Cloud Functions, GKE) or AWS equivalents
Preferred
Experience implementing 'bandit' algorithms or reinforcement learning for content ranking
Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading
Experience building 'Feature Stores' that bridge batch historical data with real-time event streams
Benefits
Company-subsidized medical, dental, & vision plans
401(k) plan with company match
Annual bonus
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
Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
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
Company
PrizePicks
PrizePicks is a mobile app platform that covers sports betting of leagues.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$0.85MKey Investors
Phoenix Capital Ventures (PCV)
2025-09-22Acquired
2021-12-01Series A
2020-07-08Seed· $0.85M
Leadership Team
Adam Wexler
Executive Chairman & Special Advisor to the CEO
Jay Deuskar
Cofounder/Chief Technology Officer
Recent News
2026-01-17
Morningstar.com
2026-01-16
Company data provided by crunchbase