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Machine Learning Engineer III

Machine Learning Engineer III
New York, US
124,000 - 194,000
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Job Description

Company Overview

Fanatics is building a leading global digital sports platform to ignite and harness the passions of fans and maximize the presence and reach for hundreds of partners globally. Optimizing these long-standing partnerships, a database of more than 80 million global consumers and a trusted, recognizable brand name, Fanatics is expanding beyond its position as a global leader for licensed sports merchandise to now becoming a next-gen digital sports platform, featuring an array of offerings for fans across the sports ecosystem.

The Fanatics family of companies currently includes Fanatics Commerce, a vertically-integrated licensed merchandise business that has changed the way fans purchase their favorite team apparel, jerseys, headwear and hardgoods through a tech-infused approach to making and quickly distributing fan gear in today’s 24/7 mobile-first economy; Candy Digital, a digital collectibles company that is partnering with prominent sports properties, including MLB and MLBPA, to build an official NFT ecosystem; Fanatics Collectibles, through Topps as a cornerstone of the business, building a new model for the collectibles and trading cards hobby with top leagues and players association partners; and Fanatics Betting & Gaming, a mobile betting, gaming and retail sportsbook platform. Fanatics’ partners include all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA) and hundreds of collegiate and professional teams, which include several of the biggest global soccer clubs.

As a market leader with more than 9,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.

At Fanatics, we’re a diverse, passionate group of employees aiming to ignite pride and passion in the fans we outfit, celebrate and support. We recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) at Fanatics we provide employees with tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience.

The base salary range for this role is $121,600 per year - $182,400 per year, depending on job-related knowledge, skills, and experience.

This role is eligible for the Fanatics Betting and Gaming annual bonus program and an equity award. In addition to the base, bonus, and equity, full-time employees are eligible for Medical, Dental, Vision, 401K, paid time off, and other benefits like GymPass, Pet Insurance, Family Care Benefits, Free Shipt deliveries, and more. We’ll also give you $500 to set up your home office!

For information about our benefits, please visit


Fanatics is looking for a Machine Learning Engineer III with a deep background in software engineering, data infrastructure and data science. The role reports to our Senior Machine learning Engineering Manager. This engineer will partner with the data engineers and data scientists to build and scale data solutions that address business problems for end users and internal stakeholders.

By using predictive models, experimental design methodologies and ML techniques, the candidate will be working on the development of exciting projects like recommendation systems, customer segmentation, A/B Testing, risk analysis, and trends for sports betting and trading.

Ideal candidates will have a strong academic background in software engineering, Data Science, distributed systems.



  • Build and Scale infrastructure for predictive models on large-scale datasets to address various business problems including recommendation systems.

  • Develop and implement scalable and efficient data pipeline features /scoring algorithms that work with large-scale data in production systems

  • Collaborate with cross functional Engineering teams to identify data sources and build services to serve prediction the data into the product.

  • Work on recommendation systems, customer segmentations, cohort analysis, life cycle analysis using predictive modeling, experimental design methods and optimization techniques.

  • Iteratively update the model to improve model accuracy and speed, and deploying it at scale with high throughput and uptime.

  • Must be open to occasional travel to events and Bet Fanatics offices for various offsite and team meetings.


  • Strong academic background in software engineering, ML and distributed systems
  • Proficient in one or more programming languages such as Python
  • Experience with one or more end to end machine learning tools such as Databricks, AWS Sagemaker
  • Knowledge and experience with popular Machine learning and deep learning frameworks (e.g. Pytorch, Tensorflow, Keras, Caffe)
  • Knowledge and experience of working with relational and dimensional databases using SQL
  • Practical understanding of the mathematics behind modern machine learning, linear algebra, and statistics
  • Experience in Experimentation, A/B Testing, Optimization

****If you possess some of these skills but not all of them, we still encourage you to apply! **


_Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics or Fanatics Brand email address (this includes For added security, where possible, apply through our company website at

Tryouts are open at Fanatics! Our team is passionate, talented, unified, and charged with creating the fan experience of tomorrow. The ball is in your court now.

Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.

NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS : In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. _ _ We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or other types of positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. For additional information on how we collect and use personal information in connection with your job application, review our Privacy Notice.

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