Product Innovation Research Intern, Human-AI Computational Design

Tri-global Solutions Group Inc.

. Scope the project to align with core research efforts .

Posted 11/12/2026internshipLos Altos • California • United StatesEntry Level💰 $45 - $65 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in 3D Parametric Design and Deep Generative Models, with a strong foundation in Machine Learning and Computer Science. Proven ability to execute research projects independently while effectively communicating findings and collaborating with stakeholders.

Highest-signal resume keywords

PhD Program Enrollment In Machine Learning3D Parametric Design ExperienceDeep Generative Models DevelopmentResearch Project Execution With PublicationsStrong Engineering Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning3D Parametric DesignDeep Generative ModelsSubjective Evaluation MethodsPrototyping Research SolutionsModel Adaptation Techniques

Soft Skills

Excellent CommunicationTeamwork SkillsAutonomous Work Ability

Tools & Technologies

Build123dBlenderPythonocc-Core

Industry Keywords

Research ProjectsHuman-Centered AIFuture Product InnovationToyota Business Stakeholders

About the role

Key responsibilities & impact

Scope the project to align with core research efforts
Drive the technical plan, including model development and analysis planning, with regular mentor feedback
Execute the project using TRI resources
Present the project's approach and findings in research meetings
Explore models for 3D parametric design generation and reasoning
Evaluate design quality, intent alignment, and decision-making under complex constraints and trade-offs
Participate in Future Product Innovation group meetings, Human-Centered AI division meetings, and meetings with relevant Toyota business stakeholders
Engage in strategy discussions connecting research to business impact at Toyota

Requirements

What you’ll need

Currently enrolled in a PhD program in Machine Learning, Computer Science, Mechanical Engineering, or related fields
Experience with 3D parametric design, deep generative models, and relevant tools such as build123d, Blender, and pythonocc-core
Experience developing subjective evaluation methods for generative and predictive models
Track record of executing research projects, including publications at top venues such as NeurIPS, EMNLP, ACL, and ICML
Desire to work on challenging open-ended research projects
Demonstrated ability to work autonomously while soliciting feedback
Excellent communication and teamwork skills
Experience adapting models to specific tasks through post-training techniques
Strong engineering skills and ability to independently prototype research solutions

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Paid time off, including holiday pay and sick time