Machine Learning Research Intern

d-Matrix • Santa Clara, CA

3d • Hybrid

About The Position

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

What This Job Offers

• Career Level: Intern
• Number of Employees: 251-500 employees