Machine Learning Engineer,… at Woven by Toyota · Palo Alto

Summary: Woven by Toyota is enabling Toyota’s transformation into a mobility company through human-centric innovation. They are seeking a Machine Learning Intern to contribute to developing innovative systems in the Autolabeling team, focusing on integrating cutting-edge ML architectures into their autolabeling capabilities. Responsibilities: - Conduct research to integrate state-of-the-art ML components into our auto-labeling pipeline, enhancing its efficiency and accuracy - Prepare and manage datasets to support data-driven model development and validation - Engage in daily collaboration with a ML Engineer, receiving mentorship and guidance while working on project tasks - Gain hands-on experience with production-level data and real-world applications, enhancing your practical skills in a professional setting - Summarize key findings and insights in a comprehensive final report, highlighting project outcomes and providing actionable recommendations Required Qualifications: - Currently pursuing a Masters or a PhD degree in Computer Science, Computer Engineering, Computer Systems, Data Science, or similar discipline - Proven ability to develop ML models for image, video, 3D or 4D data processing and/or generation (must be supported by school projects and/or publications) - Strong programming skills in Python and ML development with PyTorch - Good written and verbal communication skills - Passionate about self driving car technology and its potential for humanity - Able to commit to a 12-week internship beginning in May or June of 2026 Preferred Qualifications: - Experience developing ML models for autonomous driving or ADAS - Experience developing Perception algorithms for autonomous driving or ADAS - Publications in top tier CV, ML or robotics conferences or journals Required Skills: Machine Learning, Python, PyTorch Important Skills: 3D geometric computer vision, Data Science Nice-to-Have Skills: Self-driving car technology, Communication skills