ML Engineer, Social Infrastructure & Platform (Internship)

📋 Description

• • Embark on a transformative internship journey with Woven by Toyota, Inc., a pioneering force dedicated to redefining mobility for the 21st century. As an ML Engineer focused on Social Infrastructure & Platform, you will be instrumental in shaping the future of urban living and transportation through cutting-edge machine learning and data science.
• • This internship offers a unique opportunity to contribute to a meaningful project that directly impacts our key results, working alongside world-class engineers and thought leaders in a vibrant, innovative ecosystem.
• • You will delve into the complexities of multimodal city-wide data, encompassing geospatial information, behavioral patterns, and sensor-driven datasets, to uncover critical insights and drive data-driven decision-making.
• • Your role will involve developing and experimenting with sophisticated machine learning models, including unsupervised, semi-supervised, and supervised learning techniques, as well as deep learning architectures like CNNs and RNNs.
• • You will be tasked with building and refining these models to analyze diverse urban and mobility challenges, proposing innovative solutions through rigorous exploratory data analysis.
• • A key aspect of this role is collaborating closely with cross-functional teams to design and execute Proof of Concept (PoC) experiments within the dynamic environment of Woven City.
• • You will analyze the feedback and outcomes from these PoC trials, leveraging your findings to refine existing models and suggest actionable improvements for enhanced functionality and impact.
• • Furthermore, you will contribute to the prototyping of scalable machine learning pipelines, ensuring seamless integration into our robust data ecosystem.
• • This position demands a proactive approach to problem-solving in a fast-paced, experimental setting, where your contributions will directly influence the development of safer, more efficient, and human-centric mobility solutions.
• • You will present your findings and progress to stakeholders, effectively translating complex technical results into practical, actionable insights and strategic recommendations.
• • The internship is designed to provide hands-on experience with state-of-the-art tools, technologies, and methodologies in machine learning and data science, fostering significant skill development.
• • You will receive personalized guidance and mentorship from experienced professionals who are passionate about nurturing talent and accelerating innovation.
• • By joining Woven by Toyota, you are not just participating in an internship; you are becoming part of a mission to create a world with zero accidents and enhanced well-being for all, contributing to the evolution of mobility and urban living.
• • The project scope is designed to be substantial, allowing for deep engagement with real-world challenges and the application of advanced ML techniques to solve them.
• • You will gain invaluable experience in a collaborative, international environment, working on projects that have the potential for significant societal impact.
• • This role is ideal for individuals with a strong academic background in computer science or machine learning, coupled with a genuine passion for innovation and a desire to make a tangible difference.
• • The opportunity to work with multimodal data and resident feedback provides a rich dataset for exploration and model development, offering a comprehensive learning experience.
• • You will be part of a team that is committed to developing a versatile platform that caters to diverse needs while cultivating a culture of innovation that minimizes risks and enhances product quality.
• • Your work will directly support the mission of empowering inventors and creators by bringing their ideas to life through a structured, data-driven process within the unique Woven City environment.
• • This internship is a stepping stone for aspiring ML engineers to gain practical experience in a leading-edge research and development setting, preparing them for future leadership roles in the field of AI and mobility.
• • You will be exposed to the entire lifecycle of ML model development, from data exploration and preprocessing to model training, evaluation, and deployment considerations.
• • The focus on social infrastructure and platform development means your work will have a broad impact, influencing the foundational elements that support future mobility services.
• • You will learn to navigate the challenges of working with real-world, often noisy, urban data, developing robust and adaptable ML solutions.
• • The collaborative nature of the role ensures you will learn effective communication and teamwork skills, essential for success in any engineering role.
• • This internship is an exceptional chance to contribute to a company that is not only innovating in technology but also deeply committed to societal well-being and the future of human-centric mobility.