Senior Engineering Manager, ML Platform

Added
2 days ago
Type
Full time
Salary
Salary not provided

Related skills

docker aws python kubernetes gcp

๐Ÿ“‹ Description

  • Lead and grow the ML Platform team (engineering and data science) responsible for training
  • Own roadmap, execution, and quality of systems behind Sift's ML models.
  • Collaborate with Data Science, Core Infrastructure, Product, and Customer Success to align platform

๐ŸŽฏ Requirements

  • 8+ years of hands-on engineering experience; 4+ years in people management for software or ML teams.
  • Deep fluency in ML systems: training pipelines, feature engineering, serving, evaluation at
  • Proven track record with enterprise customer engagements and POVs.
  • Experience reducing technical debt in high-traffic production systems.
  • Experience designing/scaling evaluation frameworks (offline/online) for ML models.
  • Strong automation mindset; ability to identify and automate repeatable processes.

๐ŸŽ Benefits

  • Competitive total compensation package
  • 401k plan
  • Medical, dental and vision coverage
  • Wellness reimbursement
  • Education reimbursement
  • Flexible time off
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