Vimaan - San Jose, CA
posted 2 days ago
About the position
Vimaan is looking for a Computer Vision Engineer at its headquarters in Santa Clara to drive the development of computer vision and machine learning algorithms to power our cutting-edge wall-to-wall warehouse inventory tracking and verification platform. This is a unique opportunity to exploit a treasure cove of unseen real-world data coming from a multi-camera perception system and develop large scale computer vision and deep learning models to build a product that creates a disproportionate value for the warehouse industry. The role involves hands-on CV/ML software development and deployment - from understanding the product requirements, defining Computer Vision functional specs to designing, developing, and deploying CV/ML models in production at scale. The nature of certain projects requires US citizenship so that will be a must-have criteria.
Requirements
- MS in computer vision, machine learning, AI, applied mathematics, data science, or related technical fields or BS with 3+ years experience in Computer Vision/Machine Learning
- Hands-on experience in developing new learning algorithms for one or more of computer vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation, adversarial and generative models etc.
- Knowledge of current DL literature and the mathematical foundations of machine learning
- Ability to train and debug deep learning systems - from defining datasets and evaluation metrics, model training, deployment, failure characterization, and iterative improvement
- Strong programming skills and development experience with python and ML/DL frameworks such as Tensorflow, Pytorch etc.
- Deep insights into data characteristics and ability to map those to appropriate model architectures
- Experience working with inputs coming from multiple cameras and input modes is a plus
- Hands-on experience with MLOps tools & methods is a plus
- Experience in AI Infrastructure, Machine Learning Accelerators, On-Device Optimization is a plus
- Highly motivated and passionate individual with a very strong work ethic, ability to work in a team and work independently under supervision and guidance in a matrix management environment
- Ability to work in a fast-paced, high-pressure startup environment and adapt to rapidly changing requirements.
