AI Research Intern: Hardware Design & ML

Architect Labs; Palo Alto (CA); On-site; USD 60,000 - 80,000; Full time

Benefits offered by this job

Competitive internship stipend

Mentorship from experienced researchers

Opportunity to work on innovative problems in AI-driven chip design

Job summary

Architect Labs in Palo Alto is looking for a Research Intern to assist the founding team in advancing AI models for chip design. This 3-month role involves conducting experiments that influence the company’s core modeling roadmap. Candidates should be pursuing a relevant graduate degree, have a solid understanding of Reinforcement Learning, and be proficient in Python and deep learning frameworks.

Interns can expect competitive stipends and mentorship from an expert team. The internship provides a unique opportunity to work on groundbreaking AI-driven projects in the domain of chip design.

Qualifications

• Currently pursuing a PhD or Master’s degree in a relevant field.
• Strong academic understanding or project experience with Reinforcement Learning.
• Strong proficiency in Python and PyTorch.

Responsibilities

• Co-design and implement Reinforcement Learning experiments.
• Contribute to research on post-training techniques.
• Implement and test new algorithms for model fine-tuning.

Skills

Reinforcement Learning

Python

Deep learning frameworks (PyTorch)

Research mindset

Large Language Models (LLMs)

Education

PhD or Master’s degree in Computer Science, Machine Learning, Mathematics

Tools

Verilog

EDA tools

Job description

Architect Labs in Palo Alto is looking for a Research Intern to assist the founding team in advancing AI models for chip design. This 3-month role involves conducting experiments that influence the company’s core modeling roadmap. Candidates should be pursuing a relevant graduate degree, have a solid understanding of Reinforcement Learning, and be proficient in Python and deep learning frameworks.

Interns can expect competitive stipends and mentorship from an expert team. The internship provides a unique opportunity to work on groundbreaking AI-driven projects in the domain of chip design.