Machine Learning Engineer at Amex GBT utilizing AI techniques for business travel solutions. Collaborating globally to design, build, and optimize intelligent systems with measurable impact.
About the role
- Production Machine Learning Engineer deploying advanced perception models in Toyota's autonomous vehicle platform. Join a team innovating in mobility solutions while ensuring safety and reliability.
Responsibilities
- Lead cross-functional efforts to establish and drive ML productionization processes enabling scalable and reliable deployment into mass production with rigorous safety standards
- Optimize perception model inference performance for real-time deployment on automotive hardware using CUDA, TensorRT, mixed-precision inference, model compression, and real-time scheduling, while meeting strict latency and memory budgets
- Design and implement observability and diagnostics for perception models, including runtime logging, health checks, fail-safe behaviors, and debuggability in the vehicle and in test environments
- Work in a high-velocity environment and employ agile development practices
- Collaborate closely with teams such as Perception, Motion Planning, Simulation, Infrastructure, and Tooling to drive unified solutions
Requirements
- MS or PhD in Machine Learning, Computer Vision, Robotics or related quantitative fields, or equivalent industry experience
- (3+years of) experience deploying machine learning models into production systems, preferably to mass-produced automotive or safety-critical platforms
- Experience developing or deploying products in compliance with automotive production and development standards such as A-SPICE, PAS8800, ISO26262, or similar processes
- (3+years of) experience with Python, any major deep learning framework, and software engineering best practices
- (3+years of) experience with deep learning approaches such as supervised/unsupervised learning, transfer learning, multi-task learning, and/or deep reinforcement learning
- (3+years of) experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization
- Comfortable in writing C++ code to help integrate with our autonomous vehicle platform
- Strong leadership skills to influence others and the team's technical strategy
- Strong communication skills with the ability to communicate concepts clearly and precisely
Benefits
- 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)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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