Hybrid Senior Machine Learning Engineer

Posted 2 weeks ago

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About the role

  • Own the transition of developed MLOps pipeline components into an automated pipeline to produce and evaluate models for production
  • Develop metrics and methodologies to identify algorithmic and training gaps, ensuring the effectiveness of the production models are visible to all stakeholders
  • Collaborate with cross disciplinary engineering teams to integrate developed algorithms and models into production
  • Be a hands-on technical contributor to unblock or bootstrap key initiatives
  • Travel up to 20% of the time to meet with internal and external stakeholders

Requirements

  • 4+ years working with ML researchers to take AI/ML products from research to production
  • 2+ years of building CI/CD pipelines or using Infrastructure-as-code tools
  • 2+ years developing server-side architecture and data models to support data products that integrate machine learning
  • 2+ years with model versioning and experimentation platform like Weights and Biases
  • Experience deploying code to cloud platform (AWS, Google Cloud Platform, or Azure)
  • Experience developing AI/ML models in physical or applied science fields OR experience as a signal processing engineer, RF Sytems Engineer, or similar discipline

Benefits

  • Health, dental, and vision insurance
  • Unlimited PTO including competitive vacation and holiday schedules
  • Lifestyle stipends - Monthly mental health, wellness & fitness stipend, in-home office setup stipend and family planning assistance
  • Salary top-up during military reserve duty
  • Fully paid parental leave
  • Child and pet care reimbursement during travel

Job title

Senior Machine Learning Engineer

Job type

Experience level

Senior

Salary

$160,000 - $200,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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