Applied Machine Learning Research Scientist
Cerebras· Software Engineering
United States and CanadaFull-timePosted 3mo ago
About the role
Role focused on turning modern ML techniques into scalable, high-performance systems for training, fine-tuning, and deploying large language models (LLMs) on Cerebras' AI platform. Work spans modeling and systems, emphasizing implementation, debugging, and production-ready ML pipelines for LLM development and reinforcement learning-based post-training.
Responsibilities
- Apply post-training techniques (e.g. RLVR, RLHF, GRPO etc.) 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, training jobs, model outputs and mixed or lower precision computation.
- Collaborate with researchers to translate ML ideas into efficient, scalable implementation.
- Design, implement, and scale ML pipelines across all stages of LLM development (pretraining, fine-tuning, alignment).
- Work with large datasets, including dataset generation, filtering, and synthetic data approaches.
- Optimize training and inference workflows for performance, efficiency, and reliability.
- Contribute high-quality, maintainable code to shared ML infrastructure.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 4+ years of experience (including internships, research, or industry experience) working with machine learning systems; multiple positions for various levels.
- 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 understand modern ML papers and implement key ideas.
Skills
Required:PythonPyTorchMachine Learning fundamentalsTransformer architectures
Nice to have:Large language models (LLMs)
Last updated Aug 30, 2026. Interested? Apply on the company site.
About Cerebras
Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.
Cerebras is the go-to platform for fast and effortless AI training.
AICerebras Wafer-Scale Enginechipshardwareinferenceliquid-ai-recruiting-targetmultimodalsetter-30
More open roles at Cerebras
- Infrastructure Systems Engineer – Linux, Storage & AutomationtodayHybrid (Sunnyvale, CA) · Datacenter
- Cloud Infrastructure EngineertodayHybrid (Sunnyvale, CA) · Software Engineering
- Power Manufacturing Test Development EngineertodaySunnyvale, CA · Hardware
- Supplier Quality Engineer - New Grad1w agoSunnyvale, CA · University Departments
- Supply Chain Program Manager1w agoHybrid (Sunnyvale, CA) · Hardware