Full-Time

ML Research Scientist

Cerebras

Cerebras

201-500 employees

Develops large-scale chips to accelerate AI computing

Hardware
AI & Machine Learning

Junior, Mid, Senior

Toronto, ON, Canada + 2 more

Required Skills
Tensorflow
Data Structures & Algorithms
Pytorch
Requirements
  • Strong grasp of machine learning theory, fundamentals, linear algebra, and statistics
  • Experience with state-of-the-art models, such as GPT, LLaMA, DaLL-E, PaLI, or Stable Diffusion
  • Experience with machine learning frameworks, such as TensorFlow and PyTorch.
  • Strong track record of relevant research success through relevant publications at top conferences or journals (e.g. ICLR, ICML, NeurIPS), or patents and patent applications
Responsibilities
  • Develop novel training algorithms that advance state-of-the-art in model quality and compute efficiency
  • Develop novel network architectures that address foundational challenges in language and multi-modal domains
  • Co-design ML algorithms that take advantage of existing unique Cerebras hardware advantages and collaborate with engineers to co-design next generation architectures.
  • Design and run research experiments that show novel algorithms are efficient and robust
  • Analyze results to gain research insights, including training dynamics, gradient quality, and dataset preprocessing techniques
  • Publish and present research at leading machine learning conferences
  • Collaborate with engineers in co-design of the product to bring the research to customers

Cerebras Systems stands out as a leader in the AI industry, boasting the CS-2, the fastest AI computer currently available, powered by the largest chip ever built, the WSE-2, which contains 2.6 trillion transistors. This technological prowess allows for unprecedented speed in processing information, reducing the training time for neural networks from months to mere minutes. The company's culture is a fusion of pioneering computer architects, scientists, deep learning researchers, and business experts, all collaborating to push the boundaries of AI technology, as evidenced by partnerships with companies like TotalEnergies to enhance their research capabilities.

Company Stage

Series F

Total Funding

$720M

Headquarters

Sunnyvale, California

Founded

2016

Growth & Insights
Headcount

6 month growth

8%

1 year growth

0%

2 year growth

-11%