Senior MLOps Engineer

Bonsai Robotics' mission is to create the next leap forward in agriculture equipment efficiency by creating a new ecosystem of semi-autonomous robotic machinery. Orchards are dusty, hazard-filled, and GPS-denied. The GPS-based autosteer features that have driven row crop efficiencies cannot function in orchards. Our vision, AI, and machine control systems offer human-level environment understanding and local navigation capabilities and will be the platform for a new wave of innovation in agricultural production and management systems.

We simultaneously solve twin crises impacting nut growers and most of specialty agriculture : there is not enough human labor when you need it, and operational expenses are growing dramatically. Our state-of-the-art technology empowers orchard managers to optimize their operations, dramatically reduce operational expenses, and increase profitability. We are pursuing a Bonsai Inside strategy, and partnering with the largest orchard Original Equipment Manufacturers (OEMs) in the retrofitting of existing machines and design of form factors.

About the role

We’re looking for an MLOps engineer who thrives in real-world robotics environments and can own the entire machine learning lifecycle—from data ingestion and labeling to training, evaluation, and performance monitoring. You’ll support a perception stack spanning 2D / 3D object detection, semantic and instance segmentation, depth estimation, and multi-sensor fusion across camera and lidar.

This role is deeply cross-functional : you’ll work with perception engineers, autonomy engineers, field operations, and external labeling teams. The work is fast, tangible, and impacts every vehicle that goes into the field.

What you'll do

• Build and maintain scalable data pipelines for 2D / 3D detection, segmentation, instance segmentation, and depth estimation
• Develop data workflows across multi-camera systems and lidar stored in MCAP format
• Own dataset versioning, metadata tracking, and reproducibility systems.
• Improve training throughput using distributed systems (Ray, PyTorch Lightning, custom launchers).
• Optimize data formats and loaders for large‑scale vision and lidar datasets.

Data Curation & Quality Management

Labeling Operations

Deployment & Model Lifecycle

Cross‑Functional Collaboration

Qualifications

Bonus Points For

Bonsai Robotics is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status or any other category protected by law.

The pay range for this role is :

120,000 - 180,000 USD per year (San Jose, CA)

#J-18808-Ljbffr