Machine Learning and Computer Vision Engineer, Video Understanding, Woven City (Internship)
Nihonbashi, Tokyo
Applications have closed
Woven Planet Holdings, Inc.
Woven by Toyota will help Toyota to develop next-generation cars and to realize a mobility society in which everyone can move freely, happily and safely.Visit us to learn more: https://www.woven-planet.global/
TEAMThe R & D team in Woven City Management is developing innovative products and services using technologies developed by Toyota Motor Corporation.Our missions: 1. Develop services and products for Woven City 2. Expand capabilities through long-term R&D Toyota Motor Corporation has been involved in a variety of technological development such as robotics and energy technologies, as well as automobile technologies. Toyota is already particularly strong in hardware and we will create additional value by developing new software on top of it. As a first party developer, we will not only develop innovative services essential to the city, but also a foundation upon which third party partners can participate. Not only are we developing applications but also more core basic software and capabilities. Our team consists of many mid-career members and members with international work experience. We strive to be open minded as we cultivate a new culture. We work closely with Toyota Motor Corporation, Toyota Research Institute in North America and Toyota Motor Europe to develop technologies and products. Our team consists of many members who are from foreign countries. We provide a global work environment. We are seeking talented interns to join us to take on new challenges on creating new products and services.
WHO ARE WE LOOKING FOR?We are seeking highly self-motivated interns with expertise in machine learning and computer vision to join our Tokyo-based team for building next generation technology in video analysis products used in the city, e.g. New tools and systems for surveillance; or human-centric service with video perception about human identification, scene understanding and human activities recognition; Real2sim environment building and relevant visualization UI for the identified results.
RESPONSIBILITIES・Develop machine learning models using video streams・Evaluation and benchmark of state-of-the-art technologies in computer vision and AI ・User interface or visualizing the perception results (object, person, pose, etc.) into 2D/3D space・Build and optimize MLOps pipeline including data curation ・Develop computer vision algorithm for our applications
MINIMUM QUALIFICATIONS・Currently pursuing a Bachelor’s, Master’s, or Ph.D degree in Computer Science, Engineering or a similar major・Must be available for 3-months on-site internship in the summer of 2022・Experienced in machine learning / computer vision hands on ML frameworks such as PyTorch or TensorFlow, etc.・Experience with software development with one or more general programming languages (Python, C++, C#)・Strong communication skills, both verbal and written in English
PREFERRED QUALIFICATIONSThe followings experiences are preferable:・Experience in implementing algorithms for video understanding such as human ReID, pose estimation, action or scene recognition or related fields ・Software development on AWS (EC2, S3, EKS, etc.)・Software development using git・Knowledge of docker and kubernetes・Knowledge of computer graphics and 3D computer visions・Experience with ML frameworks such as Kube Flow etc. ・CI/CD experience using GITHub Actions・System design using communication protocol (Kafka or gRPC, etc.)・Data visualization with 3D simulation environments such as Unity or Unreal engine etc. ・Experience on processing large-scale dataset・Experience in publishing papers at major conferences・Knowledge of camera specificationsWORKING CONDITIONSStart Date: You can choose to start from several start dates, July 15, August 1, August 8 or 22, or September 1, 2022 Internship Duration: 3 months Timing: 3-5 days on weekdaysSalary: Hourly wage *The salary will be varied depending on individual experience and skills.Work Location: Nihonbashi (Head office), Higashifuji*Travel/Accommodation support will be provided for those students who are outside of the Tokyo region.
By submitting your application you agree to the following terms:https://www.woven-planet.global/careers/privacy-policy
[OUR COMMITMENT]・We are an equal opportunity employer and value diversity.・We pledge that any information we receive from candidates will be used ONLY for the purpose of hiring assessment.
Tags: AWS CI/CD Computer Science Computer Vision Data visualization Docker EC2 Engineering Git GitHub Kafka Kubernetes Machine Learning ML models MLOps Python PyTorch R R&D Research Robotics TensorFlow
Perks/benefits: Career development Conferences Startup environment Team events
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