Machine Learning Engineer Ii (remote)

DICK'S Sporting Goods

Remote, US
Base: $76,500.00 - $124,600.00; bonus/equity: ince...
Fully remote
3+ years machine learning engineering experience
Python and ml frameworks (tensorflow, pytorch)
Production model deployment and pipeline maintenance
DICK'S Sporting Goods is seeking a Machine Learning Engineer II to design, build, and deploy advanced machine learning systems in a remote capacity. The ideal candidate should have over three years of relevant experience and be proficient in Python, various ML frameworks, and model deployment tools

Job Summary

  • The role focuses on designing and deploying advanced machine learning systems that drive business impact through causal inference and Bayesian modeling.
  • Candidates will collaborate closely with the ML Platform team to ensure robust, scalable, and future-proof solutions using cutting-edge tools.
  • DICK'S Sporting Goods offers a competitive total rewards package including incentive, equity, and benefits alongside a commitment to an inclusive workforce.

Matching Summary

Match Score: 85

DICK'S Sporting Goods is seeking a Machine Learning Engineer II to design, build, and deploy advanced machine learning systems in a remote capacity. The ideal candidate should have over three years of relevant experience and be proficient in Python, various ML frameworks, and model deployment tools.

Salary

Base: $76,500.00 - $124,600.00; Bonus/Equity: Incentive and equity included; Benefits: Generous suite of benefits offered

Skills & Requirements

Must-have

  • 3+ years machine learning engineering experience
  • Python and ML frameworks (TensorFlow, PyTorch)
  • Production model deployment and pipeline maintenance
  • Cloud architecture for real-time inference APIs
  • Model monitoring for drift and performance degradation

Nice-to-have

  • Experience with causal inference libraries (EconML, DoWhy)
  • Background in media data processing
  • Collaboration with cross-functional data teams
  • Knowledge of experiment tracking tools like Weights & Biases

Key Requirements

  • Bachelor's Degree in Computer Science or related field
  • 3+ years of experience in ML engineering or data science
  • Expert understanding of Python and software engineering principles

Work Rights

Not specified

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