Machine Learning Engineer, Robotics

About Woven by ToyotaWoven by Toyota, a part of the Toyota Group, is challenging the current state of mobility through human-centric innovation and empowering mobility transformation. Through our AD/ADAS technology, our automotive software development platform Arene OS, our mobility test course Toyota Woven City, and Toyota’s growth fund, Woven Capital, we are pioneering the movement of people, goods, information, and energy, weaving a future of enhanced safety, connectivity and well-being for all.
=========================================================================
TEAMThe Toyota Woven City is a city as a “Test Course” for mobility to be built at the base of Mt. Fuji in Japan. It is envisioned as a "living laboratory” and "ever evolving," incorporating various types of cutting edge technologies. At the same time, it is also "human-centric," that is, it is expected to keep people safe and comfortable.  We expand “mobility” not only for people but also for goods or information. As for the mobility of goods, we’re developing innovative logistics services in Woven City by using delivery robots, smart devices and digital twin simulation technology. We think that super-easy movements of goods can change our value and lifestyle. Our big challenge for engineers are: 1.  Develop platform and services as mixture of hardware and software, running in the cloud and at the edge2. Make our services competitive with TPS (Toyota Production System) that is the origin of "Lean manufacturing system" or "Just-in-Time (JIT) system"
Our team will develop innovative logistics services that are essential to the city. As a first party developer, we will also build a platform upon which third party partners can participate. Therefore, we are responsible for not only the applications but also the core functionality and capabilities as the logistics platform.
For more information about Woven City, please visit: https://www.woven-city.global/
WHO ARE WE LOOKING FOR?We are looking for a Machine Learning Engineer passionate about robotics and automation to join our team of experienced developers and technical professionals. We are trying to be at the forefront of innovation and adopt cutting edge technologies and methodologies: as such machine learning, and especially deep learning is an important tool that we leverage to create the best solution.  Besides technical expertise, we highly value freedom and responsibility as complementary attributes. Meaning that as you develop and enhance our data-driven features, you would be trusted to choose the best way to implement them but you would also be responsible for ensuring that each feature works correctly, all the way through to the edge side. Since we work as a unified team, this also gives you the opportunity to work on all aspects of our user and developer experience.
You will be reporting to the Smart Logistics Software function manager, and this is a hybrid work style role.

RESPONSIBILITIES

• Design, implement, test and deploy new data-driven features from cloud training all the way to inference at the edge
• Collaborate with stakeholders, whether within the team or outside, to sketch new developments
• Inspect recorded data (manually or automatically!) to find situations that need improvement
• Report orally and in writing about your progress at internal events
• Visit our site of operations when a pressing need arises

MINIMUM QUALIFICATIONS

• Bachelor's degree in machine learning, computer vision, robotics or computer science, related field or equivalent practical experience
• 3+ years of professional experience working on a computer vision project, in Python using a machine learning framework: PyTorch is preferred, but Tensorflow is also acceptable.
• Experience working with AWS, notably ECR, S3 and Batch. including containerization technology.
• Passionate about improving autonomy through data
• Ability to quickly learn and keep up to date with relevant research developments
• Business-level written and spoken English

NICE TO HAVES

• Master’s degree, Ph.D. or other relevant research experience
• Experience with high-performance inference on edge devices
• Ability to design the entire data pipeline, from data collection to inference, through labelling and training
• Proficiency in classical computer vision (Camera calibration, marker detection, morphological image processing)

=========================================================================Important Points・All interviews will be arranged via Google Meet, unless otherwise stated.・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.
WHAT WE OFFER・Competitive Salary - Based on experience・Work Hours - Flexible working time・Paid Holiday - 20 days per year (prorated)・Sick Leave - 6 days per year (prorated)・Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company・Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance・Housing Allowance・Retirement Benefits・Rental Cars Support・In-house Training Program (software study/language study)
Our Commitment・We are an equal opportunity employer and value diversity.・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.