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MLOps Engineer

Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world.
Machine Learning
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
AI · Consumer

Description For MLOps Engineer

New Balance, a global leader in athletic footwear and apparel since 1906, is seeking a MLOps Engineer to join their Data Science Center of Excellence. This role combines software engineering and machine learning expertise to build and maintain robust ML systems. The position offers a unique opportunity to work with a company that has a rich heritage in sports and innovation while leveraging cutting-edge ML technologies.

The role focuses on maintaining and improving MLOps pipelines, ensuring model robustness and scalability. Key responsibilities include developing monitoring systems, managing model deployments, and collaborating with data scientists to productionize solutions. The ideal candidate will have strong Python and SQL skills, experience with cloud platforms, and a solid understanding of MLOps best practices.

New Balance offers an exceptional work environment with a hybrid schedule (3 days in office), comprehensive benefits including medical, dental, and vision insurance, 401k, and unique perks like yearly lifestyle reimbursements and student loan support. The company's commitment to work-life balance is demonstrated through generous vacation time, holidays, and their "Work from Anywhere" program.

This position is perfect for an experienced ML engineer who wants to impact the intersection of technology and sports, working for a company that values innovation, craftsmanship, and positive community change.

Last updated 17 days ago

Responsibilities For MLOps Engineer

  • Maintain and enhance MLOps pipelines
  • Build and maintain feature and data monitoring systems
  • Develop model monitoring and alerting systems
  • Set up automated retraining pipelines
  • Collaborate with data scientists and data engineers to productionize models

Requirements For MLOps Engineer

Python
  • 3+ years of experience as an ML Engineer or Software Engineer with ML systems experience
  • Expert proficiency in Python and SQL
  • Experience with cloud-based platforms (Azure preferred), Databricks, and Snowflake
  • Familiarity with MLFlow or similar experiment tracking and model registry tools
  • Solid understanding of MLOps best practices
  • Strong problem-solving skills and ability to work independently

Benefits For MLOps Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Education Budget
Parental Leave
  • Medical insurance (three options)
  • Dental insurance
  • Vision insurance
  • Life insurance
  • 401K
  • Online learning and development courses
  • Tuition reimbursement
  • $100 monthly student loan support
  • Mentorship programs
  • $1,000 yearly lifestyle reimbursement
  • 4 weeks vacation
  • 12 holidays
  • Parental leave
  • Work from Anywhere for 4 weeks per year

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