Machine Learning Engineer - Geospatial AI

About Mitti Labs:

Mitti Labs is a climate-tech startup dedicated to transforming the rice industry by supporting smallholder farmers in adopting sustainable practices. Our mission is to bring AI and satellite technology into traditional rice farming, reducing methane emissions while improving farmer livelihoods.

Backed by NASA-supported science and a strong ecosystem of partners, we work with global corporations to help them achieve their net-zero goals through verified, high-quality carbon credits. Our initiatives include launching a 40,000 farmers project in Telangana and Andhra Pradesh and reducing air pollution from stubble burning in Punjab.

Our customers — including Fortune 500 companies, leading agri-businesses, and global NGOs — trust Mitti Labs to deliver measurable impact across climate, food systems, and sustainability.

We are a team of 30+ data scientists, agronomists, engineers, and operators, including leaders in NASA’s SAR program, with decades of expertise in remote sensing and GHG modeling.

Role Description:

• Design, build and maintain ML/AI models from diverse geospatial data for tracking sustainable agriculture.

• Preprocess and analyze large, complex geographic datasets (e.g., satellite imagery, sensor/field data), making them ready to be used with ML techniques to identify patterns and trends.
• Enhance Application Readiness of ML/DL models to support dMRV platform and carbon science.

Requirements

• 5+ years experience in ML Engineering / Applications including productionization of geospatial agriculture models
• Experience across diverse AI/ML architectures including design, implementation, evaluation, & deployment
• Expert in Python & geospatial data handling with knowledge of common remote sensing assets like Sentinel, Landsat, Planet, soils, weather
• Experience with statistical evaluations, assessing model performance and behavior, benchmarking, interpreting accuracy metrics, and automated model testing frameworks
• Proficiency with libraries and frameworks such as PyTorch, VertexAI, TensorFlow, Keras, Scikit-learn, Airflow, Docker, etc…
  Some experience with higher order tools like Geo-Foundational, CNNs, Transformers, LSTMs, ResNets, Embeddings, GANs, LLMs
• Comfortable working with agile data scientists, high-growth environments with rapid iteration and evolving priorities, cross functional teams, version control, and ticketing

Benefits

• Be at the frontline of climate-tech
  Mitti Labs is tackling the methane emissions and water-intensive practices of rice farming — a major global climate lever that few organisations are focussed on. You’ll work with satellite/AI/field-data to drive real change, not just build features.
• High-impact global platform + deep local action
  The company’s work spans from smallholder farmers in India and Southeast Asia to global carbon markets and buyers. You’ll have the opportunity to interface with both real-world farm operations and high-level climate finance
• Work with a mission-driven, elite team in a dynamic growth environment
  Mitti Labs is backed by top investors (Lightspeed, Voyager) and led by a team with deep expertise in agriculture, carbon science and tech. If you join, you’ll be in a high-growth startup environment where your contributions matter, iteration is rapid, priorities evolve—and you’ll see your work have tangible impact on climate and livelihoods.