Senior Product Manager, AI Platform
Komodo Health
Senior/Staff Machine Learning Engineer, Perception
Agtonomy
full-time
Posted on:
Location Type: Hybrid
Location: South San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $180,000 - $250,000 per year
Job Level
Senior
Tech Stack
PythonPyTorchTensorflow
About the role
- 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.
- Write production-grade software and optimize models for embedded hardware.
- Test systems on real tractors at operating farms worldwide and collaborate with team members across the autonomy stack.
- Own critical pieces of the perception stack and drive innovations to make systems generalized, safe and reliable.
Requirements
- 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.
- 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
- Equity
- Collaborative work environment working alongside passionate mission-driven team!
- Unlimited PTO
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
computer visionmachine learningsensor fusionobject detectionsegmentationdepth estimationdata pipeline designalgorithm optimizationCUDAmodel quantization
Soft skills
collaborationproblem-solvinginnovationanalytical skillsattention to detail
