# Advanced Technology: AI/ML Research Scientist

**Company:** [Cerebras Systems](https://hotfix.jobs/companies/cerebras-systems)
**Location:** Sunnyvale, CA
**Role:** AI Research
**Skills:** PyTorch, Python, C, Machine Learning, Optimization Theory, Numerical Methods, Pde Solvers, Gradient Methods, Wafer-Scale Hardware, Computational Science
**Posted:** 2026-04-15

> Designs novel AI models and training methodologies from first principles on wafer-scale hardware, integrating computational science techniques. Requires PhD-level expertise in ML or related fields, strong publication record, and proficiency in PyTorch/Python.

## Job Description

## What You Will Do

- Design AI models and training methods from first principles, leveraging architectural properties of wafer-scale hardware that are unavailable on conventional platforms.
- Investigate how techniques from computational science—numerical methods, PDE solvers, simulation—can inform and advance AI model design, and explore hybrid workflows that couple simulation and learning.
- Develop a deep understanding of the hardware substrate and use it to guide algorithmic choices: model structure, optimization strategy, memory access patterns, numerical precision.
- Publish findings and present at top-tier venues (NeurIPS, ICML, ICLR, etc.); represent Cerebras in the broader AI/ML research community.
- Inform the design of future Cerebras hardware and software by identifying the computational patterns that matter most for next-generation AI workloads.

## What We Are Looking For

- PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, or a related quantitative field preferred; exceptional candidates without a graduate degree who demonstrate equivalent depth through published research, significant open-source contributions, or a strong industry track record are encouraged to apply.
- Mathematical maturity: comfort with the theory behind gradient methods, loss landscapes, generalization, and the relationship between model structure and data statistics.
- Track record of published research at top-tier AI or computational science venues.
- Proficiency in Python and PyTorch; comfort with C or other low-level languages is a strong signal.
- Excellent communication and interpersonal skills: able to present complex technical material to both ML and systems audiences, and to collaborate effectively in a fast-paced, small-team environment.

## Similar roles

- [ML Scientist](https://hotfix.jobs/jobs/401a3fda-7a0b-4af9-aa9c-134e4ae4b19c) - Sesame - San Francisco, CA - $190k – $320k/yr
- [Research Scientist](https://hotfix.jobs/jobs/34963160-7769-44e3-8e41-872372a811ed) - OpenRouter - Remote
- [Research Engineer, Benchmarks](https://hotfix.jobs/jobs/71636332-204e-4abc-b0b5-c2b5c2ca3726) - hud - San Francisco, CA
- [Research Scientist](https://hotfix.jobs/jobs/5c6acbfc-713c-4c38-bb2c-7a8d9dbc74d1) - Spotify - Remote
- [Research Scientist, Life Sciences](https://hotfix.jobs/jobs/3612b705-0fb1-4f66-a4a1-0b28ba382b5c) - Anthropic - San Francisco, CA - $300k – $320k/yr

**Apply:** https://hotfix.jobs/jobs/182bbe46-fd4c-494e-ac77-419aa58cd207
**Canonical:** https://hotfix.jobs/jobs/182bbe46-fd4c-494e-ac77-419aa58cd207