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Computer Vision Engineer
4 months ago
The Company
Vimaan Robotics is a privately held technology company, founded in 2017 and headquartered in Silicon Valley. Vimaan is driving a paradigm shift in the way computer vision, machine learning, and generative AI is enabled and leveraged for inventory management in the supply chain and logistics industry. Vimaan’s proprietary suite of sensors, cameras, AIML platform and software stack provide an end-to-end solution for comprehensive and real-time tracking of inventory within the warehouse. At a time when companies are striving to improve their supply chains; Vimaan is delivering an unprecedented solution to the market. In an industry where ROI is typically recorded in years, our customers are achieving returns in months We are a fast-growing start-up that is well funded by several blue-chip investors with tremendous track records such as NEA, Neotribe, Wing, and Amazon. The company has over 75 employees in various locations in the US and one location in Bengaluru, India.
Position Description
Vimaan is looking to 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 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.
Qualifications
The ideal candidate has the following attributes
- 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., and representational learning with a varied amount of data – from a few samples to a very large dataset.
- 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.
