Human Aware Interaction and Learning, Research Intern at Toyota Research Institute

Cambridge, Massachusetts, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Automotive, Artificial Intelligence, RoboticsIndustries

Requirements

Ph.D. student in related fields: ML/AI, robotics, human-centric AI, or computer vision
Publication background in relevant venues in the field
Expertise in specific areas: Imitation/reinforcement learning (RL), control and decision theory, human behavior modeling and understanding, shared control, and computational tutoring
Proficiency in frameworks: PyTorch/TensorFlow and similar deep learning frameworks and tools
Coding skills: Python, experience working in a team on joint projects
Motivated with excellent research capabilities in AI around autonomous vehicles, multi-agent modeling, human-robot interactions, trajectory prediction, driver state and behavior understanding, activity recognition, shared control, human-machine teaming/interaction, and computational teaching of humans
Relevant publications in these fields and good collaboration skills

Responsibilities

Perform research and publish in a relevant venue (e.g., CVPR, ICRA, NeurIPS, HRI) on topics related to novel representations for capturing human characteristics and interacting with humans towards long-term shared autonomy in a data-efficient, robust, and explainable way
Explore both computational and cognitive phenomena
Work with a team of researchers to create new approaches for understanding, predicting, and interacting with humans
Work from approach inception and ideation to validation of the developed approaches

Skills

Key technologies and capabilities for this role

Machine LearningRoboticsComputer VisionMulti-Agent ModelingTrajectory PredictionActivity RecognitionShared ControlHuman-Robot Interaction

Questions & Answers

Common questions about this position

Is this internship paid, and what is the compensation like?

Yes, this is a paid internship with competitive compensation.

What is the work arrangement and location for this internship?

This is a hybrid in-office role at the Cambridge, MA research center.

What skills or experiences are required for this research intern position?

The role requires excellent research capabilities in AI areas like multi-agent modeling, human-robot interactions, trajectory prediction, driver state understanding, and machine learning, robotics, and computer vision.

What is the team and work environment like at TRI?

The HAIL team focuses on understanding human behavior in driving using AI, machine learning, robotics, and computer vision, working with strong researchers in a world-class team towards impactful publications.

What makes a strong candidate for this internship?

Applicants with relevant publications in AI, autonomous vehicles, or related fields and good collaboration skills are highly encouraged.

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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