Chicago Cubs-posted about 15 hours ago
$105,000 - $120,000/Yr
Full-time • Mid Level
Onsite • Chicago, IL
1,001-5,000 employees

Our business is a team sport built on creating and delivering memorable experiences around Cubs baseball and other live events. Chicago Cubs | Marquee 360 | Marquee Development Each brand stands as unique as the teams that drive them. We welcome you to learn more about us. The Chicago Cubs franchise, a charter member of Major League Baseball’s National League since 1876, has won the National League pennant 17 times and was the first team to win back-to-back World Series titles in the 1907 and 1908 seasons. In 2016, the Chicago Cubs made history again when the team won its first World Series in 108 years, ending the longest championship drought in North American sports. Known for its ivy-covered outfield walls, hand-operated scoreboard and famous Marquee, iconic Wrigley Field has been the home of the Chicago Cubs since 1916 and is the second oldest ballpark in Major League Baseball. In 2009, the Ricketts family assumed ownership of the Chicago Cubs and established three main goals for the organization: Win the World Series, Preserve and Improve Wrigley Field, and Be a Good Neighbor. The Chicago Cubs Baseball Systems Department is seeking to potentially fill a Baseball Systems Machine Learning Engineer position. We are a department focused on creating innovative software tools and data solutions that directly impact all facets of baseball operations and are used by scouts, coaches, players, player development staff, and the baseball operations front office. This role will focus on improving the efficiency and reliability of model processes in collaboration with Chicago Cubs R&D data scientists.

  • Design, implement, and optimize model tools and workflows
  • Execute model tuning, training, and deployment
  • Collaborate with Baseball Analytics and Baseball Sciences on defining model requirements
  • Bachelor's degree in computer science, Engineering or Related Subjects
  • Understanding of data structures, pipelines, and the model development lifecycle
  • Experience with modern database technologies and SQL
  • Experience in Python, Java, C# or a similar language
  • Excellent written and verbal communication skills
  • Experience with common machine learning frameworks and libraries
  • Experience with Airflow or related scheduling tools
  • Experience working in a Linux environment
  • Experience working with cloud-based computing
  • Working knowledge of advanced baseball statistics and sabermetric concepts
  • On-site parking
  • Transit benefits
  • Paid time off: Personal, Sick, Vacation Time, Office Holidays & Winter Break
  • Flexible work arrangement
  • Casual work attire environment
  • Complimentary Meal & beverage plan
  • Cubs home game & spring training game ticket allotment
  • Access to campus wide Wrigley Field events & pre-sales
  • 401K Plan Employee Contribution & Employer Match
  • Benefit Plans: Medical, Dental, Vision & Life Insurance
  • Health & Wellness engagement & programming
  • Variety of associate special events, volunteer opportunities and partnership discounts
  • Tuition Reimbursement
  • Free access to EV charging stations
  • Free subscription to Marquee Sports Network
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