Machine Learning Engineer, Autonomy

About the role

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.

Employment Type: Full-Time
Work Location: Remote in the United States
Visa sponsorship: Open to visa sponsorship.

Responsibilities

• 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.

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.

Preferred 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.

Pay

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.

Benefits

We support each employee in living a full life, enabling a thriving career, and accomplishing a meaningful, challenging mission while collaborating with incredible people. We are dedicated to building a diverse and inclusive workplace, and offer programs including recruiting, mentorship, career development, and learning & development to ensure they support our Diversity, Equity, and Inclusion goals.