Lead Machine Learning Engineer (REMOTE)
Description For Lead Machine Learning Engineer (REMOTE)
DICK'S Sporting Goods, a $13B leading omnichannel retailer with over 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 opportunity to work on cutting-edge AI/ML solutions in two potential tracks: Decision Engine or Performance Platform. The role involves building enterprise-grade AI capabilities, working with recommender systems, computer vision, and sports mechanics.
The ideal candidate will be 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 scalable ML solutions, optimizing model performance, and developing APIs for real-time inference. The position requires collaboration with cross-functional teams and influence on critical enterprise technical strategies.
This is an exceptional opportunity to shape the future of sports retail through AI innovation, working with a highly skilled team of Machine Learning engineers and scientists. The role offers competitive compensation ($95,200 - $158,800) plus equity, benefits, and the chance to work on transformative projects that directly impact athlete and customer experiences.
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. You'll need expert-level knowledge of Python, ML frameworks, and big data technologies, combined with strong leadership and communication skills to influence senior stakeholders.
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 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
- 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
Benefits For Lead Machine Learning Engineer (REMOTE)
- Competitive total rewards package
- Incentive programs
- Equity
- Comprehensive benefits package
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