Applied Machine Learning Research Scientist
Cerebras Systems
About this role
Cerebras Systems focuses on developing innovative AI hardware solutions, notably their wafer-scale architecture that enables high-speed AI training and inference. They work with top industry clients to deploy advanced AI models and platforms, significantly accelerating AI workloads and applications.
Skills
About Cerebras Systems
cerebras.aiCerebras builds purpose‑built AI compute systems centered on its wafer‑scale processors to accelerate training and inference of large neural networks. Their integrated hardware‑and‑software platform delivers high throughput, low latency, and very large on‑chip memory/interconnect to shorten time‑to‑train for demanding AI workloads. Cerebras targets research labs and enterprises that need to scale experiments and deploy large models more quickly, pairing systems, tooling, and support to simplify large‑model development.
Recent company news
BenzingaCerebras CEO Andrew Feldman On Challenging NVIDIA, IPO Plans
3 days ago
CerebrasCerebras Systems Raises $1.1 Billion Series G at $8.1 Billion Valuation
Sep 30, 2025
TipRanksCerebras Systems Highlights AI Supercomputer Deal and OpenAI-Powered Workloads
2 days ago
SiliconANGLEReport: AI chipmaker Cerebras Systems rekindles IPO plans, targeting early 2026 listing
Dec 21, 2025
Yahoo FinanceNvidia-rival Cerebras Systems valued at $23.1 billion in latest financing
1 month ago
About Cerebras Systems
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
Unlock Company Insights
View leadership team, funding history,
and employee contacts for Cerebras Systems.
Salary
$142k – $193k
per year
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