Mission DeepEdge is on a mission to help companies build computer vision products, integrating artificial intelligence and deep learning technologies with a specific emphasis on inference at the Edge (EdgeAI).
We are always looking for talented and highly motivated engineers who are willing to roll up their sleeves, push the boundaries, and build a new class of EdgeAI products.
Description DeepEdge.ai is a Bay Area start-up founded in 2018 with a mission to enable enterprises to rapidly build computer vision applications using deep learning and deploy across a wide variety of edge devices. DeepEdge’s name reflects the DNA of the company and its core differentiator of bringing deep learning technology on the edge.
As a full stack AI services company, DeepEdge works with leading US based product companies looking to harness the power of AI.
1] Data Labeling - DeepEdge’s data labeling services enables data collection and data annotation services to pursue development of custom computer vision, deep learning models.
2] Model Development - DeepEdge develops custom computer vision models for its clients, providing end to end control from the dataset selection, pre-processing, training, custom modification of layers, inference testing, compliance and certification. DeepEdge has experience in developing computer vision models using frameworks like Caffe, Tensorflow, PyTorch and Onnx. DeepEdge team has experience building various models including: + Object detection and object tracking + Body and head pose estimation + Facial detection and facial recognition + Anomaly detection
3] Model Deployment - DeepEdge has developed strategic partnerships with key players in the computer vision domain including Ambarella, Qualcomm and Nvidia. DeepEdge has demonstrated advanced model deployment on these platforms including implementation of multiple deep neural networks running concurrently at full frame rates. DeepEdge has built a deep understanding of the silicon architecture and tools to optimize models to achieve the highest level of performance and accuracy.
4] Application Development - DeepEdge can help augment client’s product engineering effort by bringing experienced engineers with background in AI application development and QA.
DeepEdge’s clients include leading camera companies developing advanced AI enabled cameras for visual and thermal applications, AI software company using computer vision to optimize warehouse operations, automotive vendors developing advanced in-cabin AI for driver and passenger monitoring applications, etc.,
DeepEdge’s founders bring significant experience in building and scaling companies. Anup Mehta (co-founder) is a serial entrepreneur with two successful exits (Mindtree IPO in 2007 and Clarice Technologies acquisition by Globant, NYSE: GLOB in 2015). Ravindra Adapa (co-founder) is a strong technical leader with 20+ years of experience in embedded systems, computer vision & software development. Ravindra spent 12+ years at Qualcomm before starting DeepEdge.
DeepEdge has an employee rating of 4.5 out of 5 stars, based on 29 company reviews on Glassdoor which indicates that most employees have an excellent working experience there. The DeepEdge employee rating is in line with the average (within 1 standard deviation) for employers within the Information Technology industry (3.9 stars).
To get a job at DeepEdge, browse currently open positions and apply for a job near you. Once you get a positive response, make sure to find out about the interview process at DeepEdge and prepare for tough questions.
Overall, 84% of employees would recommend working at DeepEdge to a friend. This is based on 30 anonymously submitted reviews on Glassdoor.
67% of job seekers rate their interview experience at DeepEdge as positive. Candidates give an average difficulty score of 2.8 out of 5 (where 5 is the highest level of difficulty) for their job interview at DeepEdge.