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Agzenvia Ashby

Computer Vision ML Engineering Intern (MS/PHD Level)

Somerville, MAPosted 10mo ago
Computer VisionEntry LevelFull-time

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About the Role

About the Role:
As a Computer Vision ML Intern, you will be at the forefront of developing AgZen’s sensing and software portfolio. You will own and contribute to cutting-edge projects at the intersection of agrochemical spraying, machine learning, and computer vision. Collaborating closely with our world-class engineering team, you will help build software platforms that are revolutionizing agricultural efficiency for growers.

📍This role is located in Somerville, MA (Boston area) with work required to be in-person. 

What You’ll Do:

- 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.

What We're Looking For:

Required:

- Currently pursuing a Master’s or PhD in Computer Science, Robotics, or a related field.

- 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.

- 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.

Preferred:

- Experience with robotics systems that use perception and AI components.

- Adept with the latest research in perception, machine learning, deep learning, and robotics.
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