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Manager, Machine Learning and Applied Science

Metropolis

Salary not specified
Apr 15, 2025
Los Angeles, CA, US
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Metropolis is seeking to develop a broad suite of technologies on the edge and cloud that enable the operation of their CV/ML-powered platform.

Requirements

  • Expert level knowledge in Python and SQL for model development and statistical analysis.
  • Proficiency in ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Proficiency in edge computing, distributed systems, and cloud platforms (e.g., AWS, GCP, Azure).
  • Strong foundation in data structures, algorithms, and optimization techniques.
  • Experience with common program management (MS Project, Visio, etc.) and productivity (Confluence, Jira, etc.) tools.
  • Publications or patents in relevant fields such as machine learning, computer vision, or optimization is a plus.
  • 2+ years of experience as a hands-on senior, staff, or principal engineer with demonstrated end-to-end ownership of a machine learning project before transitioning into managing teams.

Responsibilities

  • Lead the Machine Learning and Applied Science team through strategic roadmaps to support business initiatives with high impact.
  • Guide the teams technically, engaging in architecture definition, implementation of best practices, and troubleshooting when needed.
  • Mange the team through all phases of machine learning development, from concept and design to deployment and monitoring.
  • Stay ahead of state-of-the-art research and industry trends in machine learning, computer vision, pricing algorithms, and related fields.
  • Collaborate with other Engineering and Product teams to evaluate requirements and use cases for new systems.
  • Establish metrics to measure the productivity of the team, hold people accountable and identify people issues early.
  • Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels.

Other

  • PhD or MS in Computer Science, Statistics, Operations Research or a relevant quantitative discipline. PhD is strongly preferred.
  • 5+ years of industry experience, with at least 1+ years of experience leading machine learning teams preferably in computer vision or pricing domain.
  • Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences.
  • Previous experience working inside innovative, high-growth environments is a plus.
  • Invest in the career development of the team members, develop future leaders, and create a culture of cohesion and teamwork.