AgZen is tackling two of agriculture’s biggest challenges: waste and pollution. Billions are spent on pesticides and fertilizers, yet most never reach the crops - resulting in costly waste and significant environmental harm. AgZen optimizes chemical application in real time, reducing input use, minimizing pollution, and protecting both yields and ecosystems.
Requirements
- 2+ years of experience developing machine learning models (PyTorch preferred).
- Advanced proficiency in Python, OpenCV, and related ML tools.
- At least one prior internship with experience in computer vision/perception algorithm development.
- Experience with robotics systems that use perception and AI components.
- Adept with the latest research in perception, machine learning, deep learning, and robotics.
Responsibilities
- Implement deep-learning models for object segmentation, classification, optical flow, and 3D reconstruction.
- Architect and implement new end-to-end models to merge existing networks.
- Employ quantization to enable power-efficient execution on edge devices.
- Explore and develop innovative methods to improve model accuracy and inference speed, particularly in edge deployment scenarios.
- Stay at the forefront of AI research in CNNs, transformers, and model quantization.
- Architect and develop data processing and annotation pipelines for continuous system monitoring and improvement.
- Collaborate across engineering teams to build technologies that integrate different fields.
Other
- Currently pursuing a Master’s or PhD in Computer Science, Robotics, or a related field.
- A proactive and adaptable work ethic, with the ability to excel in a fast-paced, team-centric environment.
- A genuine passion and curiosity for building innovative technology.
- This role is located in Somerville, MA (Boston area) with work required to be in-person.
