Fanatics

Machine Learning Engineer III - FES

New York, New York, USA · Mid · Full-time

Sponsorship not specified$117k-$167kDetected 53 days ago

PythonDistributed SystemsSQLDatabricksAWSKafkaMachine LearningSparkData EngineeringData ScienceMLOpsStatisticsA/B Testing

About the role

We are the Fan Ecosystem Data team, responsible for enhancing decision-making and innovation across the entire Fanatics ecosystem through data and analytics.

As our Data Scientists and Data Engineers build the models that understand and predict fan behavior, you build the platforms that serve those models in production.
Own the end-to-end ML infrastructure for recommendation, personalization, and LTV scoring systems, from feature engineering through model deployment and monitoring.
Build and maintain real-time and batch feature pipelines that serve low-latency predictions across the FanApp recommendation experience and cross-vertical personalization use cases.
Develop and scale model serving infrastructure that supports high-throughput, high-availability prediction across Fanatics' multi-product ecosystem.
Build and maintain embedding pipelines that generate and refresh user and item representations powering personalization and affinity modeling at scale.
Implement and maintain A/B testing and experimentation infrastructure that enables reliable measurement of model and feature impact in production.
Collaborate with Data Engineers, Analytics Engineers, and Product teams to identify data sources, enforce data quality standards, and ensure models are fed with accurate, timely signals.
Practical understanding of the mathematics underlying modern ML (linear algebra, probability, optimization) sufficient to partner effectively with Data Scientists on model design and debugging.

Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods
collect physical and digital trading cards, sports memorabilia, and other digital assets
Fanatics has an established database of over 100 million global sports fans
Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
Strong Python proficiency and deep familiarity with production ML workflows, including packaging, versioning, deployment, and monitoring.
Hands-on experience with end-to-end ML platforms such as Databricks, AWS SageMaker, or equivalent, including model registry and serving components.
Solid understanding of distributed systems and large-scale data processing (e.g. Spark, Kafka, or equivalent).
Strong SQL proficiency and experience working with relational and dimensional data models.

For information about our benefits, please visit;br> Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming.
In addition to the base and bonus, full-time employment, and more.
We are seeking a Machine Learning Engineer III to own the infrastructure and systems that bring our data science models to life at scale.

Fanatics is building a leading global digital sports platform.
We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet.
Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform.
Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores.
We build products that turn disparate data streams into real-time actionable insights, empowering teams to unlock greater value for our customers and stakeholders across every Fanatics surface.
These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location.

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