Corvus Robotics
Sr. Computer Vision / Machine Learning Engineer
Corvus Robotics, Mountain View, California, us, 94039
Sr. Computer Vision / Machine Learning Engineer
About The Role
We are hiring Computer Vision / Machine Learning Software Engineers to build compute-constrained models for deployed robots. You'll tackle diverse technical challenges, working with vast amounts of sensor data to increase environmental awareness and provide customers with deeper inventory insights. We value problem-solving, innovation, and continuous learning, and we encourage exploring new technologies to advance our machine learning capabilities.
What you'll do
Develop solutions for advanced computer vision tasks, including:
Monocular and stereo depth estimation
Learning-based structure-from-motion
3D occupancy networks
Scene understanding
Object detection
Optimize 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) to experiment with state-of-the-art techniques
Drive business value by leveraging your work across robotics, software, and deployment teams
Must have
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, model quantization, and network pruning
Adaptive and desire to assume 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 (e.g., TensorRT, RKNN, OpenVINO, ONNX, CoreML)
Experience with TypeScript/JavaScript and Django
Experience with data labelers, tooling, and data management
This role is in-person hybrid in Mountain View, CA. US work authorization is preferred but not required, can sponsor visas.
Referrals increase your chances of interviewing at Corvus Robotics by 2x.
#J-18808-Ljbffr
We are hiring Computer Vision / Machine Learning Software Engineers to build compute-constrained models for deployed robots. You'll tackle diverse technical challenges, working with vast amounts of sensor data to increase environmental awareness and provide customers with deeper inventory insights. We value problem-solving, innovation, and continuous learning, and we encourage exploring new technologies to advance our machine learning capabilities.
What you'll do
Develop solutions for advanced computer vision tasks, including:
Monocular and stereo depth estimation
Learning-based structure-from-motion
3D occupancy networks
Scene understanding
Object detection
Optimize 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) to experiment with state-of-the-art techniques
Drive business value by leveraging your work across robotics, software, and deployment teams
Must have
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, model quantization, and network pruning
Adaptive and desire to assume 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 (e.g., TensorRT, RKNN, OpenVINO, ONNX, CoreML)
Experience with TypeScript/JavaScript and Django
Experience with data labelers, tooling, and data management
This role is in-person hybrid in Mountain View, CA. US work authorization is preferred but not required, can sponsor visas.
Referrals increase your chances of interviewing at Corvus Robotics by 2x.
#J-18808-Ljbffr