Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers—15 nationalities strong and growing. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good.

Join us to help us build a more resilient world together.

The role As a Staff Machine Learning Ops Engineer at Overstory, you will design and build the foundations of our machine learning operations, ensuring our models are reliable, maintainable, and deliver real value to customers. You’ll help architect end-to-end systems for experiment tracking, data management, and scalable deployment. As one of our first dedicated MLOps hires, you’ll have significant ownership and influence over our technical direction, balancing best practices with pragmatic delivery to help our teams move fast while maintaining trust and reliability in production. You’ll also collaborate closely with data engineers, data scientists, and machine learning engineers, as well as future MLOps colleagues.

What You’ll Do In collaboration with your data and ML colleagues, you will design, build, and maintain processes and systems such as:

• automated pipelines for training, testing, and deploying ML models
• experiment tracking systems for performance metrics, data and model versioning, and documentation
• processes and systems for the full model lifecycle, including registries, release and rollback strategies, and scalable model serving
• monitoring and alerting for prediction quality, system health, and cost optimization

You will also influence the direction of data and ML within Overstory by:

• advocating for a balance between MLOps best practices and quick slices of value
• aligning technical solutions with customer needs in collaborating with both engineering and product
• ensuring our MLOps systems support regulatory, privacy, and security requirements

About You

• You love working in a remote-first, fast-moving environment where collaboration and adaptability are essential.
• 10+ years of experience with designing and building production-grade ML pipelines and systems – but don’t filter yourself out if you feel you’re a strong candidate with 5+ years.
• Strong knowledge of experiment tracking, model deployment strategies, data versioning, and monitoring.
• Experience with ML infrastructure tools (e.g. MLflow, Kubeflow, Airflow, feature stores, model registries).
• Familiarity with GCP and VertexAI preferred, but not required.
• Strong communication skills and ability to align technical solutions with business goals.
• Comfortable making architectural decisions and balancing best practices with practical trade-offs.

Nice-to-haves

• Experience in remote-first or globally distributed teams.
• Background in image processing, geospatial, or spatio-temporal data processing.
• Prior work on real-time prediction systems or active-learning loops.
• Knowledge of regulatory, privacy, or security considerations in ML.
• Experience optimizing cloud infrastructure costs for ML workloads.
• Familiarity with Overstory’s mission domains (e.g. satellite imagery, forestry, utilities)

What You Get

• To be part of truly mission-driven work that reduces wildfires, protects Earth’s natural resources, and helps solve our climate crisis.
• Flexible working environment with a lot of autonomy. We build our work days around our lives, not the other way around.
• Other benefits like a remote working budget, an educational budget, and time to develop new skills.
• To be surrounded by an excellent, vibrant, smart team who have each other's back and believe in a culture of openness, tolerance and respect.
• Equity and a competitive salary.

About Our Team We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team. We work remotely from eleven different countries and we are looking for candidates that are also living and working in one of these countries: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Denmark, Switzerland, and Canada. We meet up once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration.

Diversity & Inclusion We place enormous value on diversity and inclusion and strive to continually bring in people of all genders, races, creeds, ethnicities, abilities and backgrounds. We believe that the best ideas emerge when people with different perspectives and approaches work together on a problem.

We’re always looking to diversify our team further, but we’re proud of the fact that four out of the nine people on our leadership team are female, 46% of the overall team are female and 20% of the team are people of color. Our team speaks fifteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, Danish and Korean.

Our values Tackling the climate crisis is our greatest mission. We act with urgency.

Our curiosity fuels our growth. We recognize that change is constant, and we find joy and power in exploration.

We’re rooted in diversity. Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences.

We Care For Each Other. We love the power of machines but we nurture each other as humans.

Trust is fundamental. We assume the best in everyone, and we share ideas openly so that we have a positive impact.

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Use of AI in Our Hiring Process We sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. But don’t worry, all hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our Privacy Notice.