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MLOps Engineer

Athletic footwear and apparel company innovating since 1906, focused on sports and craftsmanship to create positive community change.
Machine Learning
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
AI · Consumer

Description For MLOps Engineer

New Balance, a renowned athletic footwear and apparel company established in 1906, is seeking a MLOps Engineer to join their Data Science Center of Excellence. This role combines software engineering and machine learning expertise, focusing on building and maintaining robust ML infrastructure. The position offers a unique opportunity to work with cutting-edge ML technologies while contributing to a company that has been innovating in sports and craftsmanship for over a century.

The role requires 3+ years of experience and demands expertise in Python, SQL, and modern MLOps tools like MLFlow. You'll be responsible for maintaining ML pipelines, implementing monitoring systems, and ensuring smooth model deployment processes. The position offers a comprehensive benefits package including medical, dental, and vision insurance, along with unique perks like student loan support and lifestyle reimbursements.

New Balance offers a hybrid work environment with 3 days in-office (Tuesday-Thursday) and includes a "Work from Anywhere" policy for 4 weeks per year. The company culture emphasizes teamwork, innovation, and work-life balance, making it an ideal place for someone passionate about applying ML engineering in a collaborative, forward-thinking environment.

The position is based in Boston, MA, at their headquarters, offering the opportunity to work in one of the major tech hubs while being part of a global brand that combines athletics, technology, and positive community impact. This role is perfect for an ML engineer who wants to make a significant impact in a company that values both technical excellence and community contribution.

Last updated 16 days ago

Responsibilities For MLOps Engineer

  • Maintain and enhance MLOps pipelines for model versioning, experiment tracking, and deployment
  • 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 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
  • Hybrid work schedule (3 days in office)

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