Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
About the role
- Engineer developing automated driving software for Woven by Toyota’s autonomous vehicles. Collaborate with teams to enhance vehicle perception and integrate machine learning into driving systems.
Responsibilities
- Build robust perception capabilities for driverless vehicles while working alongside teammates with diverse expertise
- With a deep understanding of our software stack, develop tools, algorithms, and evaluation mechanisms to solve real-world perception challenges
- Live and breath software development best practices that produce maintainable code including automated testing, continuous integration, code style conformity, and code review
Requirements
- BS in computer science, robotics, or a related field
- Proficiency in Python and familiarity with PyTorch or similar frameworks
- Ability to write code in C++ to integrate ML models into our autonomous driving platform
- 3+ years of experience in applying machine learning to solve problems and integrating solutions into production systems
- Demonstrated ability to evaluate the performance of machine learning models and improve their accuracy and efficiency
- Strong communication skills with the ability to communicate concepts clearly and precisely.
- MS/PhD in computer science, robotics, or a related field (nice to have)
- Demonstrated research publications in any of the major conferences (RSS, ICRA, CoRL, CVPR, ICLR, ICML, NeurIPS, ICCV, AAAI, etc.) (nice to have)
- Proficiency in C++ (nice to have)
- Experience applying deep neural networks to solve perception challenges within autonomous driving or related robotics fields (nice to have)
- Familiarity with agile development methodologies and tools (e.g., JIRA, Confluence) (nice to have)
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
Graduate Deep Learning Algorithm Developer developing perception technologies for autonomous driving. Tackling challenges in object detection and 3D perception using state - of - the - art deep learning models.
Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.
AI/ML Engineer developing solutions in artificial intelligence for HPE. Responsible for conducting research, designing AI solutions, and mentoring team members.
Machine Learning Engineer focusing on modeling cancer cells and developing related tools. Collaborating with researchers and scientists to advance cancer treatment through ML.
Machine Learning Engineer II developing production - grade ML models for fraud detection at GEICO. Collaborating on system architecture and ensuring optimal performance of fraud assessment systems.
AI/ML Engineer III designing and architecting AI solutions at Hewlett Packard Enterprise. Collaborating with teams to drive innovation and tackle complex problems.
AI/ML Engineer deploying state - of - the - art AI models to solve real - world problems at Brain Co. Working in healthcare, government, and energy sectors for impactful results.
Trainer at WeAndTheMany facilitating learning by sharing experiences and creating interactive sessions. Engaging with students to enhance their skills and knowledge through dynamic teaching methods.
Machine Learning Manager leading experienced team to drive data - driven AI/ML solutions at Ford. Overseeing strategies for product development focused on analytics in various domains.