Agtonomy · 3 months ago
Senior/Staff Machine Learning Engineer, Perception
South San Francisco, CA
Full-time
Hybrid
Senior Level
$180K/yr - $250K/yr
5+ years expAgtonomy is transforming how vital industries get work done with their Physical AI and fleet services. They are seeking a Senior/Staff Machine Learning Engineer to develop and refine perception algorithms for autonomous tractors, enabling them to navigate rugged environments using computer vision and machine learning systems.
AgricultureAgTechArtificial Intelligence (AI)Industrial AutomationInformation TechnologySoftware
Responsibilities
Develop computer vision and machine learning models for real-time perception systems, enabling tractors to identify crops, obstacles, and terrain in varying unpredictable conditions
Build sensor fusion algorithms to combine camera, LiDAR, and radar data, creating robust 3D scene understanding that handles challenges like crop occlusions or GNSS drift
Optimize models for low-latency inference on resource-constrained hardware, balancing accuracy and performance
Design and test data pipelines to curate and label large sensor datasets, ensuring high-quality inputs for training and validation, with tools to visualize and debug failures
Analyze performance metrics and iterate on algorithms to improve accuracy and efficiency of various perception subsystems
Qualification
Required
A MS, or PhD in Computer Science, AI, or a related field, or 5+ years of industry experience building vision-based perception systems
Deep expertise in developing and deploying machine learning models, particularly for perception tasks such as object detection, segmentation, mono/stereo depth estimation, sensor fusion, and scene understanding
Strong understanding of integrating data from multiple sensors like cameras, LiDAR, and radar
Experience handling large datasets efficiently and organizing them for labeling, training and evaluation
Fluency in Python and experience with ML/CV frameworks like TensorFlow, PyTorch, or OpenCV, with the ability to write efficient, production-ready code for real-time applications
Proven ability to design experiments, analyze performance metrics (e.g., mAP, IoU, latency), and optimize algorithms to meet stringent performance requirements in dynamic settings
An eagerness to get your hands dirty and agility in a fast-moving, collaborative, small team environment with lots of ownership
Preferred
Experience architecting multi-sensor ML systems from scratch
Experience with Foundational models for robotics or Vision-Language-Action (VLA) models
Experience with compute-constrained pipelines including optimizing models to balance the accuracy vs. performance tradeoff, leveraging TensorRT, model quantization, etc
Experience implementing custom operations in CUDA
Publications at top-tier perception/robotics conferences (e.g. CVPR, ICRA, etc.)
Passion for sustainable agriculture and securing our food supply chain
Benefits
100% covered medical, dental, and vision for the employee (partner, children, or family is additional)
Commuter Benefits
Flexible Spending Account (FSA)
Life Insurance
Short- and Long-Term Disability
401k Plan
Stock Options
Collaborative work environment working alongside passionate mission-driven team!
Company
Agtonomy
Agtonomy is a software and services company specializing in automation and physical AI for agriculture and land management.
11-50 employees
H1B Sponsorship
Agtonomy 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
2024 (1)
Funding
Current Stage
Growth StageTotal Funding
$73MKey Investors
DBL PartnersAutotech VenturesMomenta
2025-10-28Series B· $18M
2024-10-16Series A· $10M
2023-12-19Series A· $22.5M
Leadership Team
Tim Bucher
Co-Founder and CEO
Recent News
2026-01-06
2026-01-06
alleywatch.com
2025-11-03
Company data provided by crunchbase