Machine Learning Engineer, Autonomy

Blue River Technology

100d • $108,000 - $193,000

About The Position

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. Blue River Technology aligns with John Deere’s vision to 'innovate on behalf of humanity' by quickly identifying and solving high-value, high-uncertainty challenges in AI, machine learning, computer vision, and robotics. BRT acts as a research and development flywheel, building not only new products but also new platforms that reliably create value for both Deere and its customers. From fully autonomous machines to highly precise farming equipment, BRT and Deere are partnering to create technical breakthroughs in industries like agriculture and construction.

Requirements

• Bachelor’s or Master’s Degree in Computer Science or a related field, graduate degree preferred.
• 2 years of experience developing high-performance ML systems, training and optimizing DNNs for segmentation, depth, and related perception tasks with large-scale datasets.
• Strong Python + PyTorch/TensorFlow skills.
• Solid grasp of vision + deep learning fundamentals.
• Strong communication skills to work closely with interdisciplinary teams to integrate models into edge and cloud systems.

Nice To Haves

• Experience building and deploying full-stack ML pipelines, from data ingestion to model training, testing, and deployment.
• Edge deployment or real-time optimization know-how.
• Experience in working with CVML & Robotics projects.
• Experience with multi-view geometry or SLAM.
• Experience in the vehicle autonomy space.
• Experience in metrics implementation, analysis, and dashboarding.
• Knowledge of robotics libraries such as ROS / ROS2.

Responsibilities

• Implementing deep-learning-based classification systems for identifying, characterizing, and classifying various farm-related objects using images and videos.
• Exploring and developing new methods for improving detection performance and increasing the speed of processing.
• Working with the Software team to transition processing from desktop/server-class machines to real-time, field robotic systems.
• Work with systems software engineers to help architect and develop data processing and annotation pipelines for continuous system monitoring and improvement.

Benefits

• Annual base salary range of $108,000 - $193,000.
• Eligibility for Blue River’s bonus and benefit programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 251-500 employees