Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.
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TEAM Enterprise AI provides a seamless end-to-end machine learning tooling experience, catering to and expediting the development of machine learning projects, such as autonomous driving, smart city, and others.
As part of Enterprise AI, the AI Solutions team provides hands-on support to customers of the Toyota Group and related companies in solving the challenges they face in developing machine learning models and using the products developed by Enterprise AI. Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique perspectives while staying true to themselves. We foster an open culture where everyone is free to express their opinions, and each voice is valued equally.
WHO ARE WE LOOKING FOR? We are looking for a strong machine learning engineer who is highly motivated in developing and employing machine learning techniques to solve complex problems for different customers, including both internal Woven teams and Toyota-related companies. In this role, you will be working with other machine learning engineers from your team as well as collaborating with other Enterprise AI product development members and stakeholders and apply your knowledge and skills to both grow as engineers and solve intricate problems.
RESPONSIBILITIES
- Design and implement machine learning models for a variety of tasks, including computer vision and natural language processing
- Take ownership of different stages of the machine learning workflow, from data collection and preprocessing to model selection, training, evaluation, and deployment
- Work with stakeholders to translate business needs into technical requirements and contribute to the development of AI solutions
- Maintain clear and organized documentation of methodologies, experiments, and results to support transparency and reproducibility
- Provide input on technical decisions and collaborate with cross-functional teams to address challenging AI problems
- Stay up to date with emerging machine learning techniques and tools, and apply them to improve existing solutions and processes
MINIMUM QUALIFICATIONS
- Bachelor's degree in Computer Science, a related field, or equivalent practical experience
- 2+ years of experience with software development in Python
- 2+ years of experience in machine learning development, from data processing to model implementation, training, evaluation, optimization, and deployment
- Experience with deep learning
- Experience with computer vision and/or large language models (LLMs)
- Business level proficiency in English
NICE TO HAVES
- Master's degree or PhD in Engineering, Computer Science, or a related technical field
- Experience with ML workflows and tools, including unit testing, CI/CD pipelines, model tracking, and artifact management
- Experience with cloud platforms such as AWS, GCP and Azure
- Experience in model deployment on edge devices
- Business level proficiency in Japanese
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.
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