Applied Machine Learning Research Scientist

Cerebras Systems

about 2 hours ago

Sunnyvale, CA, USA or Toronto, Canada

Entry Level / Mid Level / Senior

H1B Sponsor

Responsibilities

Apply post-training techniques to improve model performance.
Build and maintain evaluation pipelines to measure model performance across tasks and domains.
Debug issues across the ML stack, including data pipelines and training jobs.
Collaborate with researchers to translate ML ideas into efficient implementations.
Design, implement, and scale ML pipelines for LLM development.
Work with large datasets, including dataset generation and filtering.
Optimize training and inference workflows for performance and reliability.
Contribute high-quality, maintainable code to shared ML infrastructure.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
0 - 5 years of experience in machine learning systems.
Strong programming skills in Python.
Experience with ML frameworks such as PyTorch.
Solid understanding of machine learning fundamentals.
Familiarity with deep learning architectures, particularly transformers.
Ability to read and implement ideas from modern ML papers.

Opportunity to build a breakthrough AI platform beyond GPU constraints.
Ability to publish and open source cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Experience a simple, non-corporate work culture that respects individual beliefs.

PythonPyTorch