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Machine Learning Engineering Manager

2 months, 1 week ago
France, Sweden, Switzerland, United States, Canada, United Kingdom, Denmark, Estonia, Ireland, Netherlands, Portugal
Full-time
Lead
Engineering Manager
Software Development
Machine Learning Python
Apply Now
Overstory

Overstory

Overstory uses AI and satellite imagery to prevent wildfires and power outages by analyzing vegetation for electric utilities.

Utilities
11-50
Founded 2018
$25M raised
View All Jobs 12

Description

  • Lead up to approximately 10 machine learning engineers and data scientists across several cross-functional teams.
  • Guide the technical direction and delivery outcomes for ML and data-driven product areas.
  • Enable teams to deliver high-quality machine learning capabilities in collaboration with product, design, engineering, and subject matter experts.
  • Support work on satellite imagery and geospatial datasets, balancing experimentation with iteration and ongoing solution improvement.
  • Hire, grow, and develop Data and ML talent.
  • Provide regular 1:1 coaching, feedback, and support to help team members thrive and progress.
  • Partner with Product Managers to make technical decisions that balance short-term delivery with long-term goals.
  • Work with other Product, Design, and Engineering leaders on strategy, technology, and people topics.
  • Improve data and ML practices and introduce ways of working that strengthen collaboration, delivery, and learning.
  • Foster an inclusive, supportive, and caring team culture.

Requirements

  • 8+ years of professional experience building machine learning- or data-driven systems.
  • At least 3 years of experience leading and managing ML or data-focused teams.
  • Experience working in a high-growth scale-up or startup environment.
  • Product-minded approach with the ability to show business impact through technology.
  • Strong technical depth in machine learning, data systems, or applied ML to guide teams and challenge decisions.
  • Experience working with Python-based ML or data workflows and collaborating closely with data scientists.
  • Strong leadership skills with a coaching mindset for supporting engineers and data scientists at all levels.
  • Excellent communication skills and the ability to collaborate effectively in cross-functional environments.
  • Passion for climate and environmental challenges, and for learning about evolving technologies and industry trends.
  • Preferred: engineering background with experience applying software engineering best practices to data and ML systems, including reproducibility, testing, monitoring, and production deployments.
  • Must be based in or able to work from one of the supported time zones/countries in Europe or Eastern North America; supported countries include the United States, the Netherlands, the United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Denmark, Switzerland, and Canada.

Benefits

  • Competitive salary and equity.
  • Flexible working environment with substantial autonomy.
  • Remote working budget.
  • Educational budget and time to develop new skills.
  • Mission-driven work focused on reducing wildfires and protecting natural resources.
  • Supportive, open, respectful team culture.
  • Occasional in-person collaboration opportunities and an annual team gathering event.

Interested in this position?

Apply directly on the company website

Apply Now

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