Note: The job is a remote job and is open to candidates in USA. DICK'S Sporting Goods is a leading sports retailer committed to creating an inclusive and diverse workforce. As the Machine Learning Engineering Manager, you will lead a skilled team to drive enterprise impact through advanced machine learning solutions that optimize inventory and merchandising effectiveness.
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
Skills
- 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 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
- Master's degree or equivalent experience in a quantitative field
- Merchandising or inventory planning experience
Company Overview
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