Future Product Innovation Research Intern, Human-AI Computational Design

Responsibilities

In collaboration with your mentor and the other researchers in the department, you will:

• 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; and
• Present the project's approach and findings in research meetings.

Qualifications

• 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 (e.g., build123d, Blender, pythonocc-core).
• Experience developing subjective evaluation methods for generative and predictive models.
• Track record of executing research projects including publications at top venues including but not limited to NeurIPS, EMNLP, ACL, ICML.
• Desire to work on challenging open-ended research projects.
• Demonstrated ability to work autonomously while soliciting feedback.
• Excellent communication and teamwork skills.

Preferred Qualifications

• Experience adapting models to specific tasks through post-training techniques.
• Strong engineering skills, with the ability to independently prototype research solutions.

Pay and benefits

The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

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