Full-Time

Senior Machine Learning Engineer

Cerebras

Cerebras

201-500 employees

Develops large-scale chips to accelerate AI computing

Hardware
AI & Machine Learning

Senior

Toronto, ON, Canada + 2 more

Required Skills
Python
Data Science
Data Structures & Algorithms
Pytorch
Natural Language Processing (NLP)
Computer Vision
Requirements
  • Master’s or PhD degree in computer science, engineering, mathematics, or related field
  • 5+ years of experience in machine learning, data science, or software engineering
  • Proficient in Python, PyTorch, or other machine learning frameworks and libraries
  • Experience in developing and deploying large-scale machine learning models using distributed systems and cloud platforms
  • Experience in applying machine learning techniques to various domains such as computer vision, natural language processing, recommender systems, etc.
  • Experience in leading and mentoring machine learning engineers or data scientists
  • Strong knowledge of machine learning theory, algorithms, and best practices
  • Ability to work independently and collaboratively with cross-functional teams
  • Excellent communication, presentation, and problem-solving skills
Responsibilities
  • Provide technical guidance and direction to a team of machine learning engineers working on various machine learning projects
  • Design and implement scalable and efficient machine learning systems using our wafer scale engine, especially
  • Perform pre-train and fine-tune trillion parameter level LLMs on the wafer scale engine clusters, with hyper-parameter tuning, model selection, and evaluation using appropriate metrics and tools
  • Research and apply the latest advancements in machine learning and deep learning to improve our solutions
  • Collaborate with other teams to integrate machine learning features into our products and service

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

7%

1 year growth

0%

2 year growth

-11%
INACTIVE