Engineering Manager, Machine Learning

Dick's Sporting Goods Inc

PA

JOB DETAILS
SKILLS
Application Programming Interface (API), Artificial Intelligence (AI), Best Practices, Budgeting, Cloud Computing, Cross-Functional, Data Analysis, Emerging Technology, Engineering Management, Enterprise Architecture, Information/Data Security (InfoSec), Inventory Planning, Investment Management, Machine Learning, Mentoring, Merchandising, People Management, Performance Management, Performance Metrics, Product Design, Product Management, Production Support, Production Systems, Resource Management, Sports, Talent Management, Team Building, Team Player, Technical Leadership, Technical Strategy
LOCATION
PA
POSTED
26 days ago

At DICK'S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.

If you are ready to make a difference as part of the world's greatest sports team, apply to join our team today!

OVERVIEW:

Join us as we transform technology, data, and analytics to build next-generation tools and platforms for athletes and teammates. As the Machine Learning Engineering Manager - Teamate, you will lead a highly skilled team, driving enterprise impact and shaping the future of a leading sports retailer. You will be at the forefront of merchandising improvement-delivering advanced machine learning and agentic solutions that optimize inventory, maximize assortment plans, and ensure the right products are available at the right time and place. You will collaborate closely with Product Management, Design and Architecture to ensure cross-functional alignment and deliver innovative software, while overseeing team development, talent management, and best practices to drive impactful results.

Key Responsibilities

  • Lead the development, deployment, and maintenance of scalable, reliable machine learning solutions for merchandising and inventory optimization.

  • Define and guide technical strategy and architecture for enterprise-grade ML, and AI capabilities.

  • Manage, mentor, and develop a high-performing team of machine learning engineers.

  • Partner with product, business, and engineering leaders to translate goals into ML-driven solutions.

  • Drive end-to-end delivery of ML solutions from discovery through production support.

  • Lead transformation initiatives delivering ML and agentic solutions that improve inventory and assortment effectiveness.

  • Champion agile methodologies and engineering best practices.

  • Ensure high standards for quality, scalability, reliability, performance, and security.

  • Design cloud-based ML deployment patterns including APIs, monitoring, and model lifecycle management.

  • Align technical execution with business priorities and KPIs.

  • Stay current with emerging technologies and recommend strategic improvements.

  • Support portfolio management, budgeting, performance management, and information security.

  • Foster a diverse, inclusive, and collaborative team environment.

  • Lead systems-level design and integration, including APIs, event streams, and vendor-managed integrations.

  • Plan and manage resources and lead onshore/offshore contractors.

QUALIFICATIONS:

  • Bachelor's (Master's preferred) degree or equivalent experience in a quantitative field.

  • 6+ years of experience in machine learning or related engineering fields.

  • 2-3 years of experience in a technical leadership role.

  • 1-3 years of people management experience.

  • Experience with ML frameworks.

  • Strong Python skills and experience with distributed data technologies such as Spark and Kafka.

  • Experience designing and operating ML-powered APIs and production systems.

  • Experience working in an Agile environment.

  • Ability to influence senior and executive stakeholders.

  • Retail technology experience required; merchandising or inventory planning experience is a plus.

VIRTUAL REQUIREMENTS:

At DICK'S, we thrive on innovation and authenticity. That said, to protect the integrity and security of our hiring process, we ask that candidates do not use AI tools (like ChatGPT or others) during interviews or assessments.

To ensure a smooth and secure experience, please note the following:

  • Cameras must be on during all virtual interviews.

  • AI tools are not permitted to be used by the candidate during any part of the interview process.

  • Offers are contingent upon a satisfactory background check which may include ID verification.

If you have any questions or need accommodations, we're here to help. Thanks for helping us keep the process fair and secure for everyone!

About the Company

D

Dick's Sporting Goods Inc

At DICK'S Sporting Goods, we ensure ultimate customer satisfaction by employing an exceptional team of associates, who truly "live" our brand. Our associates demonstrate a combination of drive, skill, commitment and passion for our business that is shared with the athletes and enthusiasts we serve. These experts draw on their personal experience and passion for sports to guide, inform and inspire every customer, helping to make DICK'S Sporting Goods the top destination for dedicated athletes in every activity, for every season.

Founded in 1948, DICK'S Sporting Goods, Inc. is an authentic full-line retailer offering a broad assortment of brand name sporting goods equipment, apparel and footwear, in a specialty store environment. For more than 50 years, we've been catering to the needs of the True Athlete and offering rewarding career opportunities for associates who are driven, skilled, committed and passionate.

Join the most passionate and driven team in sports – DICK'S Sporting Goods.
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1948
WEBSITE
http://www.dickssportinggoods.com