Engineering Manager, Machine Learning

Reposted 3 Days Ago
Be an Early Applicant
Centro, Maripí, Boyacá, COL
In-Office
6-12 Annually
Senior level
Retail • Sports
The Role
Lead a team to develop machine learning solutions for merchandising and inventory optimization, guide technical strategy, and ensure project delivery and team development.
Summary Generated by Built In

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!


Skills Required

  • Bachelor's 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
  • Experience designing and operating ML-powered APIs and production systems
  • Experience working in an Agile environment
  • Retail technology experience

Dick's Sporting Goods Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Dick's Sporting Goods and has not been reviewed or approved by Dick's Sporting Goods.

  • Healthcare Strength Offers medical, dental, and vision coverage, plus life and disability insurance for eligible full-time teammates. Feedback suggests mental health resources, free counseling, and generous fertility benefits (including multiple IVF cycles in some cases) enhance perceived healthcare value.
  • Retirement Support Provides a company-matching 401(k) with eligibility extending to part-time teammates, along with a 529 college savings plan and the ability to take loans against 401(k) savings. Feedback suggests these features are seen as competitive for retail and add meaningful long-term value.
  • Parental & Family Support Includes paid parental leave and adoption assistance, alongside everyday supports like DailyPay for flexible access to earned wages. Feedback suggests these family-oriented benefits complement base pay for many teammates.

Dick's Sporting Goods Insights

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The Company
HQ: Coraopolis, PA
28,222 Employees
Year Founded: 2014

What We Do

YOU LIVE AND BREATHE SPORTS. SO DO WE. In work and in life. On the field, the court or the ice. Nothing wins like a commitment to excellence; to your team and your goals. At DICK’S Sporting Goods, it’s this kind of thinking that inspires our mission. Our culture is the result of people who give their all and always have their head in the game. People who are Passionate, Committed, Skilled and Driven to help athletes – and one another – achieve their personal best. That includes sharing our success to fund local teams, coaches and mentors. Sports can shape who we are and who we’re becoming. They can build character, transform communities and change lives. Our recognition of the power of sports creates a sense of purpose that empowers us to perform at the highest level for the athletes and communities we serve. If you love sports as much as we do, join us now. Opportunities exist at our 800+ Retail Stores, 5 Distribution Centers, and Corporate/Customer Support Center in Pittsburgh. Apply online at: DicksSportingGoods.jobs Headquartered in Pittsburgh, DICK'S also owns and operates Golf Galaxy and House of Sport stores, as well as GameChanger, a youth sports mobile app for scheduling, communications, live scorekeeping and video streaming. DICK'S offers its products through a dynamic eCommerce platform that is integrated with its store network and provides athletes with the convenience and expertise of a 24-hour storefront. To learn more about DICK'S visit our: Investor Relations Page: investors.dicks.com Check Out Our Sideline Report: investors.dicks.com/news/sideline-report Search & Apply for Jobs: dicks.com/jobs

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