Future Product Innovation Research Intern, Human-Computer Interaction at Toyota Research Institute

Los Altos, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Automotive, Artificial Intelligence, ResearchIndustries

Requirements

Currently enrolled in a PhD program in Human-Computer Interaction, Artificial Intelligence, or a related field
Demonstrated interest in exploring novel techniques at the intersection of Design, Generative AI, and Human-AI interaction
Experience prototyping interactive generative AI systems that leverage open-source LLMs
Experience designing and conducting user studies, analyzing data, and presenting research findings
Track record of executing research projects including publications at top HCI conferences such as CHI, UIST, etc
Desire to work on challenging open-ended research projects
Demonstrated ability to work autonomously while soliciting feedback
Excellent communication and teamwork skills
Bonus Qualifications
Experience with modern front-end development frameworks (e.g., React)
Experience with modern LLM frameworks (e.g., LangChain, RAG)
Prior experience developing multi-agent conversational systems, AI collaboration tools, or debate-based interfaces
Experience adapting pre-trained models to specific tasks or domains through fine-tuning or similar techniques

Responsibilities

Develop new steerable AI systems that enable multi-agent conversation and decision-making support designed to produce actionable engineering and design insights for physical product development
Participate in Future Product Innovation group meetings and all Human-Centered AI division meetings
Engage in strategy discussions about how research connects to business impact at Toyota

Skills

Human-Computer Interaction

Generative AI

Machine Learning

Cognitive Modeling

Physiological Sensing

HCI

Design

Engineering

Toyota Research Institute

Research in mobility, safety, and automation

About Toyota Research Institute

Toyota Research Institute focuses on improving mobility through research and development in the automotive and technology sectors. The company works on enhancing safety, automated driving, robotics, materials science, and machine learning. Their products include advanced safety features and automated driving systems that aim to make driving safer and more efficient. Unlike many competitors, TRI emphasizes a research-driven approach, collaborating with various partners and licensing their innovations to enhance Toyota's offerings and maintain a competitive edge. The goal of TRI is to advance mobility solutions that improve quality of life and support the transition to zero-emissions transportation.

Los Altos, CaliforniaHeadquarters

2016Year Founded

$100MTotal Funding

SEEDCompany Stage

Robotics & Automation, Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees

Benefits

Highly competitive benefits package

Robust programs to support the wellbeing, happiness, and health of our people and their families.

401(k) plan including matching and annual profit sharing along with total vacation and holidays totaling 38 days per year.

Subsidized commuter benefits and generous employee and vehicle allowances

2 paid days per year to participate in volunteer activities.

Maternity Leave program with 10 paid weeks plus baby bonding leave and Milk Stork for traveling moms

Baby Bonding Leave–an additional 16 paid weeks–to all new parents, including those who choose to adopt.

Back-up child and adult / elder care programs to help everyone thrive

WellBeats Virtual Fitness Trainer.

Risks

Public skepticism may undermine AI-assisted driving safety initiatives.

Boston Dynamics' high costs could impact TRI's humanoid robot project returns.

Complexity of real-world environments may delay TRI's robot skill deployment.

Differentiation

TRI focuses on AI to enhance human life and mobility.

Partnerships with Boston Dynamics and Stanford showcase TRI's collaborative innovation.

TRI's Driving Sensei concept integrates AI to improve driver skills and engagement.

Upsides

Generative AI allows TRI's robots to learn complex tasks without new coding.

TRI's AI-driven material synthesis could revolutionize EV battery development.

Autonomous tandem drifting collaboration with Stanford pushes vehicle dynamics boundaries.

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