Manager, Machine Learning and Applied Science

Metropolis is seeking a Manager of Machine Learning and Applied Science who can bring deep expertise in applied science with a proven record of shipping at scale. We are developing a broad suite of technologies on the edge and cloud that enable the operation of our CV/ML-powered platform, including but not limited to computer vision, search, and pricing systems. As a Machine Learning and Applied Science manager within the Advanced Technologies organization, you will be responsible for leading a team of diverse engineers and scientists to deliver high-impact models and algorithms. You will work closely with Machine Learning Applications, Technical Operations, Platform, Hardware, and Product organizations to define requirements and support deployment of algorithms into production. 

The right candidate will have a broad machine learning background that includes having shipped multiple systems to production, as well as prior team leadership experience. You must be able to thrive and succeed in an entrepreneurial environment, working collaboratively in a fast-paced environment with multiple stakeholders. You won’t be afraid to break new technological ground at Metropolis and are more than willing to roll up your sleeves, dig in, and get the job done. If you have a background in machine learning, computer vision, pricing, and are interested in developing systems that go out into the real world, please reach out!

• 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.
• Invest in the career development of the team members, develop future leaders,
  and create a culture of cohesion and teamwork.
• Participate in talent acquisition processes to ensure that we have world class
  engineers across all skill and experience levels.
• Establish metrics to measure the productivity of the team, hold people
  accountable and identify people issues early.

Requirements and Qualifications

• 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.
• 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.
• 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.
• 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.
• Publications or patents in relevant fields such as machine learning, computer vision, or optimization is a plus.