Future Product Innovation Intern, CAD Generation ML at Toyota Research Institute

Los Altos, California, United States

Toyota Research Institute Logo
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Automotive, AIIndustries

Requirements

  • Currently enrolled in a PhD program in Computer Science, Machine Learning (or related fields)
  • Experience working with CAD data such as B-rep and step-file
  • Experience working with relevant libraries such as pythonocc-core, Shapely, TriMesh, Blender
  • Experience with deep generative models for CAD generation applications
  • Track record of executing research projects including publications at top venues including but not limited to CVPR, ICCV, TOG, SIGGRAPH, NeurIPS
  • Desire to work on challenging open-ended research projects
  • Demonstrated ability to work autonomously while soliciting feedback
  • Excellent communication and teamwork skills

Responsibilities

  • In collaboration with your mentor and the other researchers in the department, scope the project to align to the core research efforts
  • Be the primary driver of the technical plan (e.g., model development, analysis plan) with regular feedback from mentors
  • Execute the project using TRI resources
  • Present the project’s approach and findings in research meetings

Skills

Key technologies and capabilities for this role

Generative AICAD GenerationMachine Learning3D Shape GenerationPoint CloudCADHCICognitive Modeling

Questions & Answers

Common questions about this position

Is this internship paid?

Yes, this is a paid 13-week internship opportunity.

What is the work arrangement for this internship?

This internship will be a hybrid in-office role.

What qualifications and skills are required for this role?

Candidates must be currently enrolled in a PhD program in Computer Science, Machine Learning or related fields, with experience working with CAD data such as B-rep and step-file.

What is the team like at Toyota Research Institute?

The Future Product Innovation team is an interdisciplinary team of researchers working at the intersection of generative AI, design, engineering, and creativity, part of the Human-Centered AI Division which includes ML researchers, behavior scientists, and human-computer interaction experts.

What makes a strong candidate for this internship?

A strong candidate will be a highly motivated PhD research intern with a strong background in CAD Generation and Machine Learning or related fields, demonstrated interest in design and generative AI, and experience with CAD data.

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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