ML Research Scientist - Inference ML
Cerebras · United States and Canada
CHECKED 7H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Adapt today's most advanced language and vision models for Cerebras architecture.
- Deliver low-latency, high-throughput inference at scale on fastest accelerator.
- Drive inference projects from prototype to production across teams.
Ideal candidate
Self-directed ML researcher who owns hard inference problems end-to-end and thrives collaborating across hardware and software. Passionate about pushing performance limits and turning cutting-edge ideas into real-world speedups.
Requirements
- Bachelor's in related technical field and 7+ years ML software development experience, or Master's and 4+ years, or PhD and 2+ years, or equivalent
- 4+ years testing, maintaining, or launching software products including 2+ years software design and architecture
- 3+ years software development focused on machine learning
- Strong programming skills in Python and/or C++
- Experience with Generative AI and Machine Learning systems
- Evidence of research impact such as top-conference publications or major open-source contributions
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed