Senior ML Engineer (Computer Vision & Edge AI)

About Agrivero

We are Agrivero.ai, a deep-tech startup building the future of AI-powered quality control in agriculture, starting with coffee. Our mission is to digitize and transform one of the world’s most important supply chains.
We’ve built the first production-ready version for coffee bean analysis, and now we’re looking for a Senior ML Engineer to bring it to the next level.
This is not a “join later” role—you will shape the core product architecture, make key technical choices, and own the entire ML stack from research to deployment

Your Role

• Implement state-of-the-art instance segmentation and defects classification models to improve accuracy and speed.
• Extend the pipeline to multi-modal ML, integrating Near-Infrared (NIR) spectral data with RGB data for coffee bean analysis.
• Build ML workflows that balance accuracy, efficiency, and interpretability—while running within RAM and compute constraints of edge hardware.
• Contribute to system-level architecture, ensuring scalability for future crops and regions.

What We’re Looking For

• 5+ years of ML engineering experience, with a strong track record in computer vision and deep learning.
• Proven expertise in instance segmentation, object detection, and multimodal learning.
• Deep hands-on experience with NVIDIA Jetson (JetPack 5/6), TensorRT, Docker, and Linux-based edge deployments.
• Strong coding skills in Python, with the ability to take existing C++ code and turn it into a modular, maintainable, and scalable system.
• Experience with modern vision models (SAM 2, Mask2Former, DINOv2, ContourFormer, diffusion-based segmentation like OC-DiT).
• Proficiency in scikit-learn for classical ML tasks, baselines, and evaluation.
• Solid understanding of data engineering workflows: dataset creation, preprocessing pipelines, augmentation, and versioning.
• Strong knowledge of model evaluation techniques (metrics, benchmarks, error analysis) and best practices for reproducible experimentation.
• Ability to design and maintain retraining pipelines, ensuring continuous improvement of deployed models in production.
• Familiarity with model optimization techniques (INT8/FP16 quantization, pruning, distillation).
• Bonus: background in spectral/NIR data processing or applied ML in agriculture, medical imaging, or industrial inspection.

Why Join Us

• Core team role: shape the tech stack and the company DNA from the ground up.
• Work with cutting-edge ML research and deploy it into real-world production on edge devices.
• Direct impact: your work will be used by coffee producers and traders in one of the world’s most important industries.
• Competitive salary and equity package.

Tech Stack You’ll Work With

• Languages: Python, C++/CUDA
• Frameworks: PyTorch, TensorRT, NVIDIA TAO Toolkit
• Models: SAM 2, Mask2Former, ContourFormer, NOCTIS, DINOv2, OC-DiT
• Tools: OpenCV, Docker, Git
• Hardware: NVIDIA Jetson (Orin, Xavier NX)

How to Apply
Send your CV, GitHub/portfolio, and a short note about your most impactful ML deployment project to hello@agrivero.ai.