Machine Learning Engineer, Machine Learning (Internship)

ABOUT WOVEN PLANET GROUPWoven Planet Group (Woven Planet) represents a carefully curated blend of expertise and resources dedicated to bringing the vision of “Mobility to Love, Safety to Live” to life. Through innovations and investments in automated driving, robotics, smart cities, and more, we are transforming how humankind lives, works, and moves. We exist to design, build, and deliver secure, connected, and sustainable mobility solutions that benefit all people worldwide. Founded in 2018 as Toyota Research Institute - Advanced Development (TRI-AD), Woven Planet is composed of four complementary companies: Woven Planet Holdings, Woven Core, Woven Alpha, and Woven Capital.
Visit us to learn more: https://www.woven-planet.global/
TEAMWoven Core develops, implements, and scales human-centered automated driving solutions for personal and commercial use. Our team is responsible for developing perception technologies and its production software for the AD/ADAS system. To realize a fully reliable and highly functional system, we are tackling complex real-world problems utilizing large scale data, machine learning algorithms, and a variety of perception technologies.
WHO ARE WE LOOKING FOR?The ideal candidate is self-motivated to find solutions to complex real-world problems, and makes an impact while contributing to a cross-functional team. You will combine cutting-edge technologies with robust safety standards while also considering cost efficiency. Also, you have patience to tackle the processes required for production development and approach them by asking “What can I do for you?” with a “Giver” mindset.

RESPONSIBILITIES

• Apply state-of-the-art deep-learning and AI technology to ADAS and autonomous driving functions
• Design, implement, evaluate, improve, optimize, and deploy deep learning models for external camera image perception
• Clarify requirements from system and downstream applications, and design KPIs
• Utilize tons of data efficiently, and build appropriate datasets for model training and evaluation
• Maintain and improve MLops environment

MINIMUM QUALIFICATIONS

• Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering or a similar major with an expected graduation date September 2023 – March 2024
• Must be available for a 3-month on-site internship in the summer of 2022  
• 1+ years experience in writing software in Python for machine learning
• Understanding of theoretical aspects of machine learning
• Business-level proficiency in English that enables technical discussions with international engineers

PREFERRED QUALIFICATIONS

• Experience in modeling and deploying machine learning models for camera images
• Experience in utilizing perception related technologies, such as camera image processing, and computer vision
• Experience in optimizing deep-learning models on specific platforms or hardware
• Experience in using SQL database, and AWS services
• Experience in using Pytorch
• 1+ years experience in writing software in C/C++ (C++11 or later)
• Business-level proficiency in Japanese

WORKING CONDITIONSNOTE: This internship program is intended only for those who are located in Japan with valid working visas since the program is expected to be onsite.Start Date: You can choose to start from several start dates, July 15, August 1, August 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. 
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[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.