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Location

Los Alamos, NM | United States

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Job description

Scientist

Fully remote (USA) / Half-time with benefits (40h/week)

Company

Geolabe ( is developing artificial intelligence tools for automated and fast analysis of satellite data. The company’s main activity is to propose state-of-the-art machine learning tools for satellite multispectral and hyperspectral data and satellite radar interferometry, with applications to the monitoring of greenhouse gas emissions, water resources, and ground stability.

Geolabe is supported by NASA and NSF in its effort to automatize the analysis of complex satellite imagery. We are a people-centric company that values inclusion and diversity, and believe in the potential of geodata to help mitigate the climate crisis. The team has strong academic roots and ties, and scientific freedom as well as the pursuit of scientific interests are encouraged.

About the Role

The team at Geolabe is developing algorithms tailored for the analysis and interpretation of satellite data. We rely on a variety of physical modelling, statistics, and machine learning approaches to derive actionable insights from noisy satellite data.

We are looking for applied scientists with backgrounds in geophysics, physics or data science to further improve and apply these approaches to the monitoring of key climate change drivers at scale.

Responsibilities

• Develop methods for the analysis and interpretation of complex satellite data, with the goal of tackling climate change issues.
• Develop and optimize data access and processing pipelines, as well as method validation pipelines.
• Communicate with a network of peers, clients, academics.
• Contribute to scientific publications and scientific proposals.

What You Bring

• Strong problem-solving skills, and a pro-active mindset to propose innovative solutions to scientific problems.
• PhD in a relevant scientific field such as geophysics, astrophysics, environmental sciences, physics, data science, or another quantitative discipline.
• A track record of scientific publications.
• Proficiency in Python.
• Hands-on approach, and willingness to take leadership in the development of innovative solutions.
• Strong work ethics, and ability to regularly and efficiently communicate and assess progress with teammates.

What Makes You Stand Out

• Experience with spectral or radar satellite imagery, or other geospatial data.
• Experience with machine learning, computer vision, image analysis, statistics, or signal processing.
• Experience with distributed computing.
• Contribution to open-source projects.
• Experience with standard machine learning libraries (Pytorch, TensorFlow, etc.).

Why Work at Geolabe

• Enjoy exploring the scientific cutting edge.
• Focus on work that matters, helping to solve pressing environmental issues.
• Contribute to a growing startup environment, and participate in startup and commercialization mentorship programs.
• Comprehensive medical plan, including dental and vision.
• Flexible work schedule.

$100,000-$140,000 a year base pay, an d discretionary incentives (bonus and equity).

Individual compensation will vary depending on qualifications and experience.

Job Application

Please include a cover letter of 1 to 3 pages describing your research so far, and your research interests in the future. Optionally, feel free to include your motivation for working at the interface between research and a climate tech startup.

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Salary