Cerebras Systems
ML Research Scientist - Inference ML
United States and Canada · Mid
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About the role
- As an ML Research Scientist on the Inference ML team at Cerebras Systems, you will invent and evaluate advanced algorithms, methods and model architectures for efficient inference on our flagship Cerebras architecture.
- Hybrid role in Toronto, ON, CA or Sunnyvale, CA, USA.
Responsibilities
- Collaborate with engineering and performance teams to understand practical constraints and help translate successful research into usable systems, from inception through delivery.
- You'll work alongside ML researchers and engineers to design, prototype, validate, and optimize methods and models, contributing to cutting-edge inference research on the world's fastest AI accelerator.
- You will focus on pushing the frontier of speculative decoding, large-model pruning and compression, sparse attention, and sparsity-driven techniques to deliver low-latency, high-throughput inference at scale.
Requirements
- Ability to reason about model and algorithm performance, particularly for inference workloads.
- Strong Python programming skills and proficiency with relevant ML frameworks such as PyTorch, Transformers, vLLM, or SGLang.
Nice to have
- Track record of owning complex ML or inference projects end-to-end, from initial idea through iterative research, implementation, and evaluation to measurable impact in production.
- Experience designing novel model architectures.
- Familiarity with large-scale model training and deployment, including performance and cost trade-offs in production systems.
- Experience with Triton, CUDA, or C++ is a plus.
- Required Skills & Attributes
- Self-directed mindset with a demonstrated ability to identify and tackle the most impactful problems.
- Collaborative and generous with colleagues, with the ability to communicate ideas clearly across research and engineering teams.
- Why Join Cerebras
Skills
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
Benefits
- Design and evaluate new transformer architectures and variants for NLP and computer vision to improve the trade-offs among quality, latency, throughput, and compute.
Company info
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.