Senior Computer Vision Engineer
Description For Senior Computer Vision Engineer
Dexterity is revolutionizing warehouse automation through advanced robotics technology, seeking a Senior Computer Vision Engineer to join their innovative team. This role combines cutting-edge computer vision development with practical robotics applications, focusing on creating intelligent systems that can handle complex warehouse operations.
The position requires expertise in computer vision and machine learning, particularly in semantic and instance segmentation. You'll work with modern tools like PyTorch and TensorFlow, developing solutions that require real-time processing and high performance. Experience with RGBD datasets and point clouds is crucial, as is proficiency in C++ and Python development.
As a Senior Computer Vision Engineer, you'll be responsible for the entire ML pipeline, from data gathering and model training to deployment and optimization. The role involves working with cloud infrastructure to build scalable solutions and maintaining high-performance production systems.
Dexterity offers a unique opportunity to work on transformative robotics technology that's already making an impact, with their systems having handled over 15 million goods in production. The company is backed by prestigious investors and maintains a culture focused on innovation and customer success.
The position offers competitive compensation ($160,000-$200,000) plus benefits and equity, reflecting the senior nature of the role. You'll be joining a diverse, multidisciplinary team dedicated to making intelligent robots a reality, with the potential to significantly impact global supply chain operations.
This is an ideal opportunity for an experienced computer vision engineer who wants to work on challenging problems in robotics, with real-world applications and the chance to shape the future of warehouse automation. The role combines theoretical knowledge with practical implementation, requiring both technical expertise and the ability to optimize solutions for production environments.
Responsibilities For Senior Computer Vision Engineer
- Writing Computer Vision code and building Machine Learning models
- Understanding current systems and their limitations
- Updating and scaling ML pipelines to cover more scenarios and improve accuracy
- Implementing latest developments in semantic segmentation and instance segmentation
- Building highly performant models and serving architectures
- Managing end-to-end process of gathering, augmenting, labeling data and curating datasets
- Training, deploying and troubleshooting models in the field
Requirements For Senior Computer Vision Engineer
- BS/MS in Computer Science, Machine Learning or related discipline, or equivalent experience
- 5 or more years of related work experience
- Experience with OpenCV and Open3D
- Prior experience building, training and deploying production ML models using PyTorch and Tensorflow
- Strong knowledge of Modern C++ and Python
- Experience using profilers and debuggers to optimize code
- Experience building and maintaining production code
- Experience with serving architectures like NVIDIA Triton, TorchServe and Tensorflow Serving, Flask
- Strong academic background and knowledge of ML and academic papers
- Experience with cloud infrastructure (AWS, GCP, Azure) for training and serving pipelines
- Ability to trace and solve problems across interconnected systems
- Experience with Git and modern CI pipelines
Benefits For Senior Computer Vision Engineer
- Base salary plus comprehensive benefits and equity package
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