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Senior Machine Learning Engineer (Autonomous Agriculture Perception Systems)

United States
Full Remote Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Join Blue River Technology as a Senior Machine Learning Engineer to design and optimize CVML models for autonomous tractors, ensuring safety and performance in real-world farming environments. You’ll lead the full ML lifecycle—from prototyping to production deployment—collaborating with cross-functional teams to advance autonomous agriculture. Requires 2+ years in high-performance ML systems, deep expertise in segmentation/depth estimation, and strong Python/PyTorch/TensorFlow skills.

Key Highlights
Lead development of CVML models for autonomous tractor perception, focusing on segmentation and depth estimation in challenging production environments
Own the full ML lifecycle: prototyping, training, testing, and production-scale deployment on edge/cloud systems
Collaborate with cross-functional teams to integrate perception models into autonomous agriculture solutions

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Key Responsibilities
Design, develop, and optimize CVML models for segmentation and depth estimation in autonomous farming environments
Own the full ML development lifecycle, from prototyping to production-scale deployment on edge and cloud systems
Collaborate with cross-functional engineering teams to integrate perception models into autonomous tractor initiatives
Evaluate and improve model performance through rigorous testing and analysis of metrics across large-scale datasets
Technical Skills Required
Python PyTorch/TensorFlow Computer Vision & Deep Learning

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Benefits & Perks
Annual performance bonus
Competitive benefit package
Visa sponsorship

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Nice to Have
Experience in building full-stack ML pipelines (data ingestion to deployment)
Edge deployment or real-time optimization expertise
Knowledge of multi-view geometry, SLAM, or robotics libraries (ROS/ROS2)

Job Description

We're Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers – farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff – pixel-by-pixel and task-by-task - leads to big gains.
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Job Overview
Posted Aug 18, 2026
Employment Full-time
Experience Entry level
Location United States
Category Machine Learning
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