Sorry, this listing is no longer accepting applications. Don’t worry, we have more awesome opportunities and internships for you.

Paid Intern Deep Learning

Dishcraft Robotics, Inc

Paid Intern Deep Learning

San Carlos, CA
Internship
Paid
  • Responsibilities

    Paid Intern Deep Learning at Dishcraft Robotics San Carlos At Dishcraft Robotics, our mission is to build things that matter. We are a venture-backed Bay Area start-up that is revolutionizing robotics, computer vision, machine learning, and mechanical design. Come join our talented team of technologists and business people as we create advanced machines in an industry that touches everyone. First and foremost, we value people, intellectual engagement, and transparent communication. We are looking for a highly motivated, intellectually curious and passionate Deep Learning Engineer. Dishcraft is developing intelligent robots for commercial kitchens that can help with tedious and dangerous tasks. Our robots need to operate intelligently in chaotic environments to deliver reliability, safety, and high throughput for their tasks. The major projects include object recognition and detection, anomaly detection, grasp prediction for autonomous robot manipulation, and more. This individual will work as part of Dishcrafts computer vision team, contributing to algorithm development, data collection and annotation, sensor evaluation, and testing. Please be sure to include your Github (or equivalent) repository if you have one. About The Role - Contribute to developing and testing convolutional neural network (CNN) architectures for object detection and classification for Dishcrafts robots. - Contribute to developing and managing data collection and annotation processes for diverse machine learning projects. - Perform proof of concept studies by implementing a new architecture or theory for deep learning. - Document and analyze workflows and results. - Evaluate sensors and contribute to developing new sensor technology. - Collaborate closely with roboticists, software engineers, mechanical engineers, test engineers, external consultants from both industry and academia, and robots. About You - Demonstration of contributions to the field of deep learning: large projects, publications at conferences (CVPR, ICML, NIPS, ICCV, ECCV, ICLR, ICPR, IPMI, and etc.), journal publications, internships for relevant projects, blog posts, open source projects. - BS or higher degree in computer vision or machine learning, or equivalent experience. - Experience implementing deep learning architectures. - Proficiency in Python (particularly, numpy, scipy, pandas, scikit-image, and scikit-learn) and C/C++. - Experience with tools such as Caffe, Torch, Theano or TensorFlow. - Familiarity with data cleaning, analysis, and developing efficient, accurate data annotation schemes. - Familiarity with unit testing and version control.

    • Familiarity with state-of-the-art CNN architectures such as ResNet, VGG, GoogleNet (Inception), Faster RCNN, and Mask R-CNN. - Highly motivated, team player with strong technical collaboration skills and desire to learn quickly and develop new skills. - The desire to be part of a fast-moving start-up and work in a collaborative environment with few rigid boundaries. Dishcraft Robotics is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity, or any other characteristics protected by law.
  • Industry
    Manufacturing