AWS Sagemaker, Caffe, Data science techniques, Database, Databricks, Deep Learning, Infrastructure as code, Keras software library, Machine learning techniques, Optimization, Python Programming, PyTorch, SQL, TensorFlow
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.
Overview
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
Qualifications
$193,600 - $290,400 a year
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!
Fanatics, Inc. is an American manufacturer and online retailer of licensed sportswear, sports collectibles, NFTs, trading cards, and sports merchandise, as well as sports betting and iGaming. The company began as an American online retailer of licensed sportswear and merchandise, which operates the e-commerce businesses of major professional sports leagues and media brands, as well as hundreds of collegiate and professional team properties.