Lead Machine Learning Engineer (REMOTE)
Description For Lead Machine Learning Engineer (REMOTE)
DICK'S Sporting Goods, a leading $13B omnichannel sports retailer with 850+ locations, is seeking a Lead Machine Learning Engineer to drive their transformation from being the best sports retailer to becoming the best sports company in the world. This remote position offers an exciting opportunity to work on cutting-edge AI/ML solutions in two key areas: Decision Engine and Performance Platform.
The role requires an emerging technical leader with deep expertise in traditional Machine Learning algorithms and state-of-the-art AI/GenAI methods. You'll be responsible for designing and implementing enterprise-grade AI capabilities that power personalized athlete experiences and advanced intelligent decisioning tools. The position offers the chance to work with a highly skilled team while influencing critical enterprise technical strategies.
As a Lead ML Engineer, you'll be at the forefront of building the ultimate athlete data set and next-gen tools for athletes and teammates. The role involves designing ML architecture, deploying models for both batch and streaming use cases, and ensuring scalability and reliability of machine learning solutions. You'll work closely with cross-functional teams and have the opportunity to shape the future of sports retail through technology.
The compensation package is competitive, ranging from $95,200 to $158,800, plus benefits, equity, and incentives. The position requires 6+ years of experience, with 2-3 years in a technical lead role, and preferably a Master's degree in a quantitative field. This is an exceptional opportunity for someone passionate about AI/ML who wants to make a significant impact in the sports retail industry while working with cutting-edge technology.
Join a company that believes in the positive power of sports and is committed to creating an inclusive and diverse workforce. You'll be part of transforming how enterprise decisions are made through AI/GenAI capabilities while working on career-defining projects in either the Decision Engine or Performance Platform space.
Responsibilities For Lead Machine Learning Engineer (REMOTE)
- Design and lead ML architecture and model deployment strategies for batch and streaming use cases
- Ensure scalability, reliability, and efficiency of machine learning solutions
- Optimize and improve performance of existing machine learning models and systems
- Design Cloud deployment architecture for deploying ML models as APIs
- Develop and maintain APIs for machine learning models
- Work with Machine Learning Platform team to develop and maintain ML platform
- Conduct research in machine learning and artificial intelligence
- Collaborate with cross-functional teams to translate business requirements into technical solutions
Requirements For Lead Machine Learning Engineer (REMOTE)
- 6+ years of experience with 2-3 years as main technical lead
- Experience in API engineering
- Extensive experience with TensorFlow, PyTorch, OpenAI, and LangChain
- Expert understanding of Python and other common languages
- Expert level experience in big data technologies including Spark, Kafka
- Experience in Agile working environment
- Previous experience mentoring and developing junior team members
- Master's Degree or equivalent preferred in quantitative fields
- Deep understanding of SOTA machine learning models in retail space
- 10-15 years of general experience
Benefits For Lead Machine Learning Engineer (REMOTE)
- Competitive total rewards package
- Incentive programs
- Equity
- Comprehensive benefits package
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