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We are looking for a highly skilled and innovative Principal Machine Learning Tech Lead to join the team responsible for building the perception stack for Blue River Technology's autonomous tractor initiative. The hire will be responsible for leading development on ML models, training and testing pipelines to enhance system safety and performance in challenging production environments. This role will range from developing initial prototypes to scaling for production. We are looking for an experienced, motivated, and collaborative technical leader to help build the future of autonomous agriculture.
Job Responsibility:
Lead the design, development, and deployment of machine learning and computer vision models that power real-time perception for autonomous agricultural robots
Own the full ML lifecycle—from dataset design and data collection through training, evaluation, model optimization, and deployment on embedded platforms
Collaborate cross-functionally with robotics engineers, software developers, and hardware teams to integrate perception systems into field-ready machines
Lead a team of CVML engineers, fostering technical growth, strong engineering practices, and a culture of experimentation and delivery
Define and execute the ML roadmap, balancing research exploration with production needs to meet performance, safety, and robustness targets in challenging environments
Prototype and validate new approaches quickly, using both real-world and synthetic data to improve detection, segmentation, and scene understanding under variable conditions (lighting, occlusion, dust, etc)
Continuously evaluate model performance in the field and refine approaches to maximize reliability and generalization across crop types, terrains, and climates
Requirements:
8-12 years of experience developing high-performance ML systems
Experience shaping the technical vision for larger projects and providing guidance while contributing to core capabilities
Strong leadership and communication skills, and demonstrated experience in leading and mentoring teams
Hands-on work experience with GPU-based computing on large data sets
Extensive experience with deep learning frameworks (e.g., PyTorch)
Bachelor’s or Master’s Degree in Computer Science or a related field, graduate degree preferred
Nice to have:
Production experience with developing hardened machine learning perception algorithms
Experience building and deploying full-stack ML pipelines, from data ingestion to model training, testing, and deployment
Experience in working with CVML & Robotics projects
Experience in working with the vehicle autonomy space
Familiarity with TPUs, GPUs, and FPGAs
Experience in metrics implementation, analysis, and dashboarding
Knowledge of robotics libraries such as ROS / ROS2
What we offer:
bonus and benefit programs
inclusive workplace
programs including recruiting, mentorship, career development, and learning & development
reasonable accommodation for individuals with disabilities
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