Staff Machine Learning Research Scientist

d-Matrix; Vancouver; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

An innovative firm is seeking passionate individuals to join their team in shaping the future of generative AI. As part of a collaborative and inclusive culture, you will design and implement cutting-edge deep neural network architectures, engage with both internal and external researchers, and contribute to groundbreaking projects. This role offers the opportunity to work in a hybrid environment, blending the best of onsite collaboration with the flexibility of remote work. If you're excited about pushing the boundaries of technology and thrive in a dynamic startup culture, this is the perfect opportunity for you to make a significant impact in the world of AI.

Qualifications

• Master's degree in a technical discipline with 3+ years experience, PhD preferred.
• High proficiency in Python, algorithm analysis, and deep learning frameworks.

Responsibilities

• Design and implement deep neural network architectures for AI compute engine.
• Collaborate with researchers and software teams to meet R&D goals.

Skills

Deep Learning Frameworks

Python Programming

Algorithm Analysis

Data Structures

C/C++ Programming

GPU CUDA Programming

Education

Master's in Computer Science

PhD in Computer Science

Tools

PyTorch

Job description

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.

Location:

Hybrid, working onsite at our Santa Clara, CA headquarters or San Diego, CA Location 3 days per week.

What You Will Do:

1. Design, implement and evaluate efficient deep neural network architectures and algorithms for d-Matrix's AI compute engine.
2. Engage and collaborate with internal and external ML researchers to meet R&D goals.
3. Engage and collaborate with SW team to meet stack development milestones.
4. Conduct research to guide hardware design.
5. Develop and maintain tools for high-level simulation and research.
6. Port customer workloads, optimize them for deployment, generate reference implementations and evaluate performance.
7. Report and present progress timely and effectively.
8. Contribute to publications of papers and intellectual properties.

What You Will Bring:

1. Master's degree in Computer Science, Electrical and Computer Engineering, or a related technical discipline with 3+ years of industry experience, PhD preferred with 1+ year of industry experience.
2. High proficiency with major deep learning frameworks: PyTorch is a must.
3. High proficiency in algorithm analysis, data structure, and Python programming is a must.

Desired:

1. Proficiency with C/C++ programming is preferred.
2. Proficiency with GPU CUDA programming is preferred.
3. Deep, wide and current knowledge in machine learning and modern deep learning is preferred.
4. Experience in real-world data science projects in an industry setting is preferred.
5. Experience with efficient deep learning is preferred: quantization, sparsity, distillation.
6. Experience with specialized HW accelerator systems for deep neural network is preferred.
7. Passionate about AI and thriving in a fast-paced and dynamic startup culture.

Equal Opportunity Employment Policy

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.