Sr. Computer Vision / Machine Learning Engineer

Stack

Responsibilities

• ▹Develop solutions for advanced computer vision tasks, including monocular and stereo depth estimation, learning-based structure-from-motion, 3D occupancy networks, scene understanding and object detection
• ▹Optimize the performance, accuracy and speed of compute-constrained models
• ▹Collaborate across teams to deploy CV/ML models into production
• ▹Improve ML pipelines and infrastructure for dataset management, training and deployment
• ▹Participate in R&D initiatives (20% of time) experimenting with state-of-the-art techniques
• ▹Drive business value by leveraging your work across robotics, software and deployment teams

Requirements

• ▹5+ years of industry experience in Computer Vision/Machine Learning, Python/PyTorch
• ▹Expertise in 2D and 3D computer vision techniques
• ▹Proficiency with Linux, Git, AWS/GCP and CI/CD workflows
• ▹Experience in performance engineering for deep neural networks (both training and inference)
• ▹Knowledge of model optimization techniques for embedded systems, including knowledge distillation, quantization and network pruning
• ▹Adaptive mindset and willingness to take on responsibility in a fast-paced startup environment

Nice to have

• ▹Experience with C/C++
• ▹Familiarity with ROS (Robot Operating System)
• ▹Knowledge of model deployment frameworks (TensorRT, RKNN, OpenVINO, ONNX, CoreML)
• ▹Experience with TypeScript/JavaScript and Django
• ▹Experience with data labelers, tooling and data management

Soft skills

What we offer

• ▹Visa sponsorship available if needed

About the company

Corvus Robotics builds fully autonomous drones (Corvus One) that use computer vision and robotics to automatically track warehouse inventory, improving worker safety and labor efficiency. The company aims to optimize the global physical economy through data-driven, safe inventory management.