ML / Data Scientist, Perception

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We develop human-centered automated driving solutions for personal and commercial use. We develop perception technologies and its production software for the AD/ADAS system. To work towards a reliable and functional system, we are solving complex real-world problems using large-scale data, machine learning algorithms, and a variety of perception technologies.

You will combine modern technologies with safety standards while also considering cost efficiency. You will be an expert in neural networks and software engineering. Also, you have patience to handle the processes required for production development and approach them by asking "What can I do for you?" with a "Giver" mindset.
You appreciate a hybrid workspace and can come to our Nihonbashi office three days per week, joining the team responsible for perception data for ADADAS.

Come up with data strategies on how to collect, sample, label, handle, and use tons of data from the market, test vehicles, and simulators to improve machine learning model performance of the perception stack for camera images that is deployed to millions of vehicles

Design and improve the scalable data pipelines and automation for machine learning and performance evaluation

Analyze large-scale data and identify its characteristics to propose technical solutions for machine learning and performance evaluation

Lead data-related activities within the team, across the company in collaboration with Toyota group, and enhancing team members' capability for data science

2+ years experience in following industries or research areas:

AD/ADAS

Robotics

Computer Vision

2+ years experience in data science or related areas, including theoretical aspects of data science like machine learning (deep learning, statistical analysis, and mathematical modeling)

Experience writing software using1) Python for data science (numpy, scipy, scikit, pandas), 2) database, and 3) cloud platform services (AWS, GCP, Azure)

Bachelor's degree in science or engineering

Business-level proficiency in English

Master's degree or Ph.D. in related field

5+ years experience in data science or related areas

3+ years tech experience in data science or related areas for business applications, such as production, commercial service or public service development

Hands-on experience in the following:

Analyze huge (e.g. peta byte) scale database

Develop perception-related technologies, such as camera image processing, computer vision, machine learning, or deep learning

Design data annotation rules for machine learning

Build or manage infrastructure, such as Docker, Kubernetes, Jenkins, GitHub Actions

Business-level proficiency in Japanese (especially, smooth reading and listening)