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Lead Machine Learning Engineer (REMOTE)

Leading omnichannel sports retailer with 850+ locations across multiple brands, generating $13B in revenue.
$95,200 - $158,800
Machine Learning
Staff Software Engineer
Remote
5,000+ Employees
6+ years of experience
AI · Enterprise SaaS · Retail

Description For Lead Machine Learning Engineer (REMOTE)

DICK'S Sporting Goods, a $13B omnichannel retailer with over 850 locations, is seeking a Lead Machine Learning Engineer to drive their transformation from the best sports retailer to the best sports company in the world. This remote position offers an opportunity to work on cutting-edge AI/ML solutions in two key areas: Decision Engine and Performance Platform.

The role requires a technical leader with extensive experience in traditional Machine Learning algorithms and modern AI/GenAI methods. You'll be responsible for designing and implementing enterprise-grade AI capabilities that power intelligent decisioning tools and enhance customer experiences. The position offers competitive compensation ranging from $95,200 to $158,800, plus additional benefits including equity and comprehensive healthcare.

As a Lead ML Engineer, you'll work on either the Decision Engine, focusing on enterprise decisioning systems and their integration across multiple systems, or the Performance Platform, developing sports mechanics and performance-related experiences using AI. The role requires expertise in Python, machine learning frameworks (TensorFlow, PyTorch, OpenAI), and big data technologies (Spark, Kafka).

The ideal candidate should have 6+ years of experience with 2-3 years in a technical lead role, preferably with a Master's degree in a quantitative field. You'll be responsible for mentoring junior team members, collaborating with cross-functional teams, and presenting to executive leadership. This is an exceptional opportunity to shape the future of sports retail through innovative AI applications while working for a company committed to helping athletes achieve their dreams.

DICK'S Sporting Goods offers a collaborative environment, competitive compensation, equity opportunities, and comprehensive benefits. The company values innovation and authenticity, maintaining high standards in their hiring process, including requirements for video interviews and background checks. This role presents a unique opportunity to impact the future of sports retail while working with cutting-edge technology in a remote environment.

Last updated 6 days ago

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 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 ML Platform team to develop and maintain the ML platform
  • Conduct research in machine learning and artificial intelligence
  • Collaborate with cross-functional teams on technical solutions

Requirements For Lead Machine Learning Engineer (REMOTE)

Python
Kafka
  • 6+ years of experience with 2-3 years as main technical lead
  • Experience in API engineering and maintenance
  • Expertise in machine learning frameworks like 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 junior team members
  • Master's Degree preferred in Computer Science, Engineering, Physics, Mathematics
  • Deep understanding of SOTA machine learning models
  • 10-15 years of general experience

Benefits For Lead Machine Learning Engineer (REMOTE)

Medical Insurance
401k
Equity
  • Competitive total rewards package
  • Incentive programs
  • Equity
  • Comprehensive benefits package

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