Machine Learning Research Intern

Machine Learning Research Intern

12 Week Program:
June 1st - August 21st or June 22nd - September 11th

Hybrid, working onsite at our Santa Clara, CA headquarters 3 days per week.

The Machine Learning Team is responsible for investigating algorithm-hardware co-design research vectors in d–Matrix’s end‑to‑end solution. You will be joining a team of exceptional people enthusiastic about researching and developing state‑of‑the‑art efficient deep learning techniques tailored for d–Matrix’s AI compute engine. You will also have the opportunity to collaborate with top academic labs and help customers optimize and deploy workloads for real‑world AI applications on our systems.

• Design, implement and evaluate efficient deep neural network architectures and algorithms for d–Matrix’s AI compute engine.
• Engage and collaborate with internal and external ML researchers to meet R&D goals.
• Engage and collaborate with Software team to meet stack development milestones.
• Conduct research to guide hardware design.
• Develop and maintain tools for high‑level simulation and research.
• Port customer workloads, optimize them for deployment, generate reference implementations and evaluate performance.
• Report and present progress timely and effectively.
• Contribute to publications of papers and intellectual property.

• Pursuing Masters/PhD degree in Computer Science, Electrical and Computer Engineering, or a related scientific discipline.
• High proficiency with PyTorch is a must.
• High proficiency in algorithm analysis, data structure, and Python programming is a must.
• Current knowledge in machine learning and modern deep learning.
• Hands‑on experience with modern neural network architectures such as MoEs and Diffusion models.
• Knowledge and experience with efficient deep learning is preferred: quantization, sparsity, distillation.
• Strong publication records in top machine learning conferences or journals is preferred.
• Proficiency with C/C++ programming is preferred.
• Proficiency with GPU CUDA programming is preferred.
• Experience with AutoML and meta learning is preferred.
• Experience with numerical analysis preferred.
• Experience with specialized HW accelerator systems for deep neural network is preferred.

d–Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.

Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.