Machine Learning Engineer, Baseball Systems
Chicago CubsGO BEYOND THE IVY
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
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JOB TITLE: Machine Learning Engineer, Baseball Systems
DEPARTMENT: Baseball Operations: Research & Development – Baseball Systems
ORGANIZATION: Chicago Cubs
REPORTS TO: Director, Baseball Systems
LOCATION: Chicago, IL
FLSA STATUS: Exempt
COMPENSATION: Salary Range $105,000 - $120,000
BEING PART OF THE TEAM
Our business is a team sport that began on a field with baseballs and bats and has evolved into one of the most recognizable brands in sports and entertainment through Cubs baseball and live events. Our success is driven by our people, who work to create and inspire change in an engaging, collaborative and inclusive environment. As a team, we continue to build a culture on and off the field that delivers unforgettable experiences for one another, our fans and community. In support of that effort, we expect associates to work primarily in our office. Are you ready to be part of it?
OUR STORY
THE CHICAGO CUBS FRANCHISE:
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.
HOW YOU’LL CONTRIBUTE:
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.
THE DAY-TO-DAY:
• 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
WHAT YOU’LL BRING:
• 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
WHAT SETS YOU APART:
• 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
TOTAL REWARDS:
- 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
* This job posting includes the anticipated compensation, which reflects the hourly rate or salary range the Chicago Cubs and its affiliates are considering for this role in the specified location(s) as of the posting date. Where anticipated compensation is a salary range, the actual base salary offered within that range will be reflective of the candidate’s skills and experience.
The Chicago Cubs and its affiliates embrace diversity and are committed to building a team that represents all communities. We hold ourselves accountable to include new and different voices in our organization. Everyone is welcome here, and we celebrate what makes each of us unique.
Response Expectations:
Due to the overwhelming number of applications we receive, we unfortunately may not be able to respond in person to each applicant. However, we can assure you that you will receive an email confirmation when you apply as well as additional email notifications whether you are selected to move forward for the position or not. Please note, we keep all resumes on file and will contact you should we wish to schedule an interview with you.
The Chicago Cubs and its affiliates are an Equal Opportunity Employer committed to inclusion and employing a diverse workforce. All applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, or other legally protected characteristics.