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Make climate change adaptation a reality.

Join us.

Open Position: Scientific AI/ML Engineer

About the Role

We are seeking a highly motivated Machine Learning (ML) Engineer to join our team. This pioneering role offers the unique opportunity to take ownership and collaborate closely with our Climate and AI scientists from the ground up, bringing innovative climate forecasting technology directly to our customers. As the first ML engineer on our team, you will play a crucial role in shaping the future of climate technology.


You are responsible for spearheading the development and implementation of ML models, taking full ownership of the process. You will work hand-in-hand with Climate and AI scientists, you will translate cutting-edge research into scalable solutions. 


You are excited to tackle complex problems with innovative approaches, always looking for the most effective and efficient solutions. You embrace a growth mindset in a fast-paced startup environment, where learning and adapting are part of the daily routine as you are continuously expanding your knowledge and skills in both machine learning and climate science.


You have a proven record of implementing ML models from scratch, utilizing your deep understanding of machine learning principles and algorithms. You are creative as you design and test new models, always thinking outside the box to overcome challenges and improve forecasting accuracy.


This is an extraordinary opportunity to be at the forefront of the climate tech industry, contributing directly to the development of groundbreaking technology with global impact. You will not only advance your career in machine learning but also play a significant role in combating climate change through technology. If you are passionate about making a difference and excited to be part of a dynamic startup, we would love to hear from you.

Skills & Experience


  • 1-3 years of experience in an ML engineer role, demonstrating a track record of successful ML model development and implementation

  • Expertise in Python, including experience with ML libraries and frameworks such as PyTorch and TensorFlow.

  • Proficient in data wrangling and analysis, with the ability to clean, manage, and interpret large datasets effectively.

  • Solid understanding of machine learning principles, algorithms, and practices. Ability to implement, train, and validate models from scratch.

  • Strong software development practices, including version control (Git), continuous integration, and coding standards.

  • Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and clearly articulate technical concepts to non-technical stakeholders.


  • Experience with spatiotemporal data analysis and modeling, particularly in the context of climate or environmental data.

  • Proficiency in using advanced data analysis libraries such as xarray for multidimensional arrays, particularly for handling netCDF data formats.

  • Familiarity with geospatial data processing tools and libraries (e.g., GDAL, QGIS) and understanding of geospatial data formats and standards.

Working at Planette

At Planette, we are passionate, technical, and mission-driven.  We are motivated by purpose – to improve the state of the planet while building a kick-ass company.  We love science and technology, and believe that they can be harnessed for the global good.  As we work, we love birds’ eye views, but also sweat all the details.  We are competitive and ambitious, but strive to work collaboratively and kindly, helping out our teammates when they need it. 

Climate change is here – just this year, Earth hit a major planetary milestone, warming 1.5C over preindustrial temperatures.  Even as we work together to decrease heat-trapping greenhouse gas emissions to limit warming, our challenge is to adapt to this warmer world that we’ve created.  At Planette, we are a mission-driven climate adaptation company, focused on helping the world through this major climate transition.  We bring the latest, actionable climate intelligence information from the research domain to the real world, to build resilience into businesses and governments in the face of a warming planet.  We use the latest science and AI to produce season-ahead and year-ahead forecasts of key environmental variables, forecasts that bridge the gap between weather (up to 14 days), and climate (30 years and beyond), to provide actionable information over the time horizons that organizations need it: quarterly, annually, and over 5 years.

Think you're a good fit for an open position?

Please send a cover letter and resume (with a github/gitlab link for all technical roles) to

Note: we are currently unable to sponsor new H1B visas.

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