DICK’S Sporting Goods is looking for a Lead Machine Learning Engineer to drive enterprise impact and shape the future of a leading sports retailer. This is a key technical leadership role in athlete and teammate transformation, delivering best-in-class customer experience through advanced intelligent decisioning tools using AI/GenAI and Machine Learning. There are two specific openings: one in Decision Engine (enterprise decisioning systems) and one in Performance Platform (sports mechanics and performance experiences).
What You'll Do
- Design and lead ML architecture and model deployment strategies for both batch and streaming use cases.
- Ensure the scalability, reliability, and efficiency of machine learning solutions.
- Optimize and improve the performance of existing machine learning models and systems.
- Design Cloud deployment architecture for deploying ML models as APIs for real-time inference with caching.
- Develop and maintain APIs for machine learning models to facilitate integration with other systems.
- Work closely with the Machine Learning Platform team to develop and maintain the ML platform utilizing cutting edge tools and techniques.
- Conduct research on the latest advancements in machine learning and AI, specifically in recommender systems and/or computer vision.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- For Decision Engine – understand other recommender/search systems within the enterprise and their interaction with the enterprise decision engine.
- For Performance Platform – understand market offerings in performance science and develop a perspective on DICK’S unique technical positioning using computer vision, performance mechanics, and AI.
- Partner with product, business, and engineering leads to design systems for future growth and scale.
- Help teams understand the art of the possible with AI technology through deep technical design.
- Present results to and influence senior and executive leadership on strategic technical decisions.
What We're Looking For
- 6+ years of experience in the machine learning field.
- Experience being the technical lead of multiple projects at the same time, responsible for delivery and business metrics.
- Experience in API engineering, including designing, developing and maintaining APIs.
- Extensive experience using common machine learning and deep learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain.
- Expert understanding of Python and other common languages.
- Expert level experience in big data technologies including but not limited to Spark, Kafka, and distributed systems computing.
- Experience in an Agile working environment and at least one related project management tool (Azure DevOps, Jira, etc.).
- Previous experience mentoring, training, and developing junior members of the team through technical influence.
- Experience with software engineering principles as it relates to Machine Learning systems.
- Deep understanding of SOTA machine learning models in the overall retail space and performance space.
- Brings a collaborative, problem solving and growth mindset to all interactions with a strong focus on delivery.
- Master's Degree or equivalent level preferred in quantitative fields like Computer Science, Engineering, Physics, Mathematics, etc.
- Wide and deep experience providing expert competence (Over 10 to 15 years).
Nice to Have
- At least 2-3 years of being the main technical lead in related projects (strongly preferred).
- Bonus if specific experience in cutting edge recommender systems, computer vision and sports science.
Technical Stack
- TensorFlow, PyTorch, OpenAI, LangChain
- Python
- Spark, Kafka
- Azure DevOps, Jira
Team & Environment
This role is a key technical leader, partnering with product, business, and engineering leads. You'll work closely with the Machine Learning Platform team to meet business and science objectives.
Benefits & Compensation
- Salary range: $95,200.00 - $158,800.00
- Competitive total rewards package that could include incentive, equity and benefits.
- DICK'S Sporting Goods complies with all state paid leave requirements.
- A generous suite of benefits.
Work Mode
This is a remote position.
We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.
