Machine Learning Engineer

We are seeking a highly skilled and innovative Machine Learning Engineer to join the team responsible for building the perception stack for Blue River’s autonomous tractor initiative. The hire will be responsible for developing CVML models and training and testing pipelines to enhance system safety and performance in challenging production environments. This role will range from developing initial prototypes all the way to scaling for production. We’re looking for a motivated and collaborative individual to help build the future of autonomous agriculture., A combination, not necessarily all-inclusive, of the following:

• Design, develop, and optimize CVML models and training pipelines for perception tasks including segmentation and depth estimation, with a focus on safety and performance in challenging production environments.
• Own the full ML development lifecycle: from initial prototyping through to production-scale deployment on edge and cloud systems.
• Collaborate closely with cross-functional engineering teams to integrate perception models into BRT’s autonomous tractor initiative.
• Evaluate and improve model performance through rigorous implementation, testing, and analysis of metrics across large-scale datasets.
• Contribute to advancing autonomous agriculture by applying cutting-edge machine learning and computer vision techniques to real-world farming challenges.

• 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.

Preferred Experience and Skills

• Experience in 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.

At Blue River, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $113,000 - $202,000/year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. This position is also eligible for an annual performance bonus and a competitive benefit package. During the recruitment process, we may identify an alternative role or level to which you are more suited. If your ideal role at Blue River differs from the advertised position, we will provide an updated pay range as soon as possible during the hiring process., 25 Days Ago Remote or Hybrid 171K-261K Annually Senior level 171K-261K Annually Senior level Automotive * Big Data * Information Technology * Robotics * Software * Transportation * Manufacturing Lead development and operation of CI platform components (RBE, FUSE) to enable scalable build, test, and developer workflows. Collaborate across teams, own projects end-to-end, drive engineering best practices, mentor engineers, perform design/code reviews, and support integration of internal tools with the FUSE-based file system to improve developer productivity for AV and ML workloads. Top Skills: FuseGoLinuxNetworkingPythonRemote Build Execution (Rbe)Ssh General Motors

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6 Days Ago Remote or Hybrid 219K-335K Annually Senior level 219K-335K Annually Senior level Automotive * Big Data * Information Technology * Robotics * Software * Transportation * Manufacturing As a Senior AI/ML Engineer, you’ll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems. Top Skills: DockerGCPGoKubernetesPython

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

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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.

Our people are at the heart of what we do. Through cross-disciplinary collaboration, this mission-driven team is eager to define the new frontier of robotics. We are always asking hard questions, rapidly iterating, and getting our boots in the field to figure it out. We won’t give up until we’ve made a tangible and positive impact on the planet!

Blue River Technology is based in Santa Clara, CA.