Bonsai Robotics · 1 month ago
Senior MLOps Engineer
San Jose, CA
Full-time
Onsite
Mid, Senior Level
4+ years expBonsai Robotics is focused on revolutionizing agricultural equipment efficiency through semi-autonomous robotic machinery. They are seeking a Senior MLOps Engineer to manage the entire machine learning lifecycle, collaborating with various teams to enhance data pipelines, quality management, and model deployment for their robotics systems.
AgricultureAgTechIndustrial AutomationMachinery ManufacturingRobotics
Responsibilities
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
Build automated tools for dataset selection, active learning, hard-sample mining, and outlier detection
Maintain dashboards and automated checks for dataset health, label quality, class balance, and environment coverage
Partner with field teams to prioritize data collection runs and close the loop between field issues and dataset refreshes
Manage internal labelers and external labeling vendors
Define annotation standards for camera and lidar tasks
Build QA workflows, reviewer interfaces, and automated label-consistency checks
Identify systematic labeling errors and drive corrective processes
Build pipelines for continuous evaluation using telemetry from vehicles in the field
Monitor model drift, identify edge cases, and manage regression tests across 'golden' datasets
Track on-vehicle performance signals to flag data needs, degradations, or unexpected behavior
Work closely with perception engineers on calibration, sensor models, data schemas, and on-vehicle inference constraints
Coordinate with autonomy and perception teams to align ML outputs with navigation needs
Work with platform team to integrate ML pipelines into core platform infrastructure
Partner with fleet operations to review real-world performance and prioritize new data collection
Qualification
Required
4–7+ years industry experience in MLOps, ML infrastructure, data engineering or applied ML engineering
Strong Python development skills
Experience building robust data pipelines for large-scale vision or lidar datasets
Experience managing and operating cloud infrastructure (e.g., AWS EC2, S3, IAM, autoscaling, spot fleets)
Familiarity with ML lifecycle tooling (MLflow, Weights & Biases, Metaflow, Airflow, Ray, etc.)
Experience managing labeling workflows or working directly with annotation vendors
Strong debugging instincts across the full stack—from data issues to training failures to evaluation anomalies
Preferred
Experience with PyTorch, CUDA, and common CV/3D libraries
Experience with multi-sensor fusion, BEV architectures, or 3D perception
Familiarity with MCAP, ROS2, Foxglove, and real-time robotics systems
Experience with autonomous vehicle pipelines or industrial/agricultural robotics
Background in active learning or automated label-quality scoring
Experience building synthetic data augmentations or simulator-driven dataset expansion
Experience building auto-labeling pipelines
Company
Bonsai Robotics
Bonsai Robotics provides vision-based automation solutions for off-road vehicles, such as agricultural machines.
11-50 employees
H1B Sponsorship
Bonsai Robotics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2023 (2)
Funding
Current Stage
Early StageTotal Funding
$25.5MKey Investors
Bison VenturesAcre Venture Partners
2025-01-28Series A· $15M
2023-10-02Seed· $10.5M
Leadership Team
Ugur Oezdemir
Chief Technology Officer
Brendan Dowdle
Chief Business Officer
Recent News
2025-12-26
The Business Journal
2025-12-24
2025-10-24
Company data provided by crunchbase