TerraClear
A Machine Learning Engineer at TerraClear designs, trains, and deploys deep learning models for real-world computer vision applications in agricultural robotics and mapping intelligence. The role involves building scalable training pipelines, improving ML infrastructure, and collaborating with cross-functional teams to enhance model performance in challenging field environments.
Headquarters
Issaquah, Washington, United States
Company Size
11-50 employees
Founded
2017
TerraClear is an AI-augmented farming company that uses robotics and machine vision to help growers make faster, smarter field decisions across every acre. Their platform covers rock management—providing precise rock maps to reduce pick time and equipment damage—as well as weed management and autonomous field scouting via their TerraScout robot, with future applications in plant phenotyping and pest detection. TerraClear bridges the gap from field imagery to actionable plans by combining edge compute, AI models, and mission planning tools.
Exclusive: From rocks to row crops, TerraClear broadens its capabilities with launch of fully autonomous robot
3 weeks ago
TerraClear Releases Autonomous Field Robot for Real-Time Rock, Weed Detection
2 weeks ago
TerraClear's Brent Frei on the Moment of Insight that Leads to Building a Product
Jul 18, 2024
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for TerraClear.
8% above the average for this role
Rock-picking robotics startup TerraClear raises $25 million
May 26, 2021