Fanatics is building a leading global digital sports platform. The company ignites the passions of global sports fans and maximizes the presence and reach for hundreds of sports partners globally by offering innovative 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 over 900 sports properties, including major national and international professional sports leagues, teams, players associations, athletes, celebrities, colleges, and college conferences, and over 2,000 retail locations, including its Lids retail business stores. 

 

As a market leader with more than 18,000 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.

 

Fanatics is looking for a Staff Machine Learning Engineer 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.

Responsibilities

• 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.

Qualifications

• 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! 

$193,600 - $290,400 a year

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 @betfanatics.com).  For added security, where possible, apply through our company website at www.fanaticsinc.com/careers

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.

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