AgZen · 2 weeks ago
Principal Computer Vision Engineer
AgZen is tackling two of agriculture’s biggest challenges: waste and pollution. As part of the engineering team, the Principal Computer Vision Engineer will design, build, and improve computer vision systems for precision spraying technology, ensuring performance in real agricultural environments.
AgricultureAgTechFarming
Responsibilities
Develop advanced computer vision models that support real-time detection and decision-making in AgZen’s spraying systems
Lead the design of model architectures, training pipelines, and evaluation methods that meet performance requirements in both lab and field environments
Collaborate closely with hardware, firmware, and product teams to ensure vision models integrate seamlessly with system components
Oversee data collection planning, dataset creation, and annotation quality to ensure robust and representative training data
Analyze field performance to identify root causes of model behavior, propose improvements, and validate updates through experimentation
Establish best practices for versioning, testing, deployment, and continuous improvement of computer vision models
Provide technical mentorship to teammates and contribute to strong engineering standards across the organization
Communicate progress, risks, and recommendations to engineering and product leadership in a clear and structured manner
Qualification
Required
A bachelor's degree in computer science, electrical engineering, robotics, or a related field
7+ years of experience in solving problems in computer vision/perception with a foundation in deep learning and ML
Experience working with real-time or edge-based inference and integrating models with hardware or embedded systems
Demonstrated ability to design experiments, analyze results, and iterate quickly based on field and product requirements
Deep experience training and validating computer vision models (e.g., object detection, segmentation, and classification) for robust performance in real-world environments
Proven ability to architect end-to-end computer vision pipelines, strategically decomposing complex problems across multiple models and stages
Expertise in MLOps best practices and tooling (e.g., MLflow, W&B, or similar experiment tracking and deployment frameworks) for managing the entire model lifecycle from research to production at scale
Clear communication skills and the ability to work effectively with cross-functional teams in a fast-moving environment
Advanced knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods
The resilience, adaptability, and technical leadership needed to deliver solutions in dynamic and sometimes unpredictable field conditions
Advanced proficiency in Python, PyTorch, Numpy, and OpenCV
Preferred
An advanced degree is preferred but not required
Benefits
Early-employee equity
401(k) with employer matching
6 weeks of PTO
Paid holidays
Health insurance
Company
AgZen
AgZen develops pesticide sprays stick to plants which reduces pollution and helps farmers save.
H1B Sponsorship
AgZen 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 (1)
Funding
Current Stage
Early StageTotal Funding
$10MKey Investors
DCVC BioMassChallenge
2025-03-06Series A· $10M
2021-06-28Non Equity Assistance
Recent News
AgFunderNews
2025-10-24
2025-10-23
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