Machine Learning / AI Engineering Intern at Teradyne developing AI - driven software systems and collaborating on intelligent automation projects. Focus on applied AI initiatives and real - world engineering challenges.
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
Senior ML Engineer at BMT designing and deploying machine - learning systems, collaborating across diverse client projects in defence and security sectors.
Machine Learning Engineer responsible for improving MIRA and developing generative AI features at Meltwater. Collaborating with a team to drive innovation and scalability in AI solutions.
AI & ML Engineer enhancing energy management software solutions at GreenPocket GmbH. Focusing on modern LLM architectures and AI integration for innovative user experience.
Machine Learning Engineer responsible for implementing and maintaining data science models in bpx’s machine learning studio. Bridging data science and computational needs to achieve business outcomes.
Machine Learning Engineer at DentalMonitoring developing AI solutions for orthodontics. Responsibilities include model development, evaluation, deployment, and performance monitoring.
Machine Learning Engineer at Hiscox working on fraud detection and generative AI projects. Collaborating closely with data scientists and engineers to solve complex business challenges.
Internship focusing on programming robotic arms and using machine learning in simulations at Fraunhofer IIS. Opportunity to gain practical experience and contribute to innovative research.
Senior Machine Learning Engineer at Itaú, driving innovation with data and AI solutions. Collaborating across teams to implement robust machine learning architectures and ensure scalable deployments.
Machine Learning Engineer responsible for developing and deploying advanced ML and AI solutions at Zendesk. Collaborating with stakeholders to deliver impactful business outcomes using latest machine learning technologies.