Staff Researcher, Generative AI — From Lab to Production

Fireworks AI

United States

On-site

USD 150,000 - 230,000

Full time

13 days ago
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Job summary

Fireworks AI is seeking a Member of Technical Staff on the Research team, targeting researchers finishing their PhD who want impact beyond publications. You will push the boundaries of generative AI, focusing on scalable LLMs and multimodal systems, with a mentor and real production problems from day one.

You will conduct foundational research, design novel architectures, and collaborate with experts in deep learning, distributed systems, and optimization to deploy your work at leading

Qualifications

  • PhD completed or expected by Dec 2026, in CS/ML/related field.
  • Strong ML research background with publications or projects.
  • Experience with ML frameworks such as PyTorch, JAX, TensorFlow.
  • Proficient in Python and systems programming (C/C++).
  • Experience translating research into production-grade systems.

Responsibilities

  • Conduct foundational research to advance LLMs and multimodal systems.
  • Design, implement, and evaluate novel model architectures and optimization techniques.
  • Collaborate with engineering teams to deploy research prototypes to production.
  • Analyze results, identify bottlenecks, and iterate to improve model quality.
  • Incorporate doctoral research directions into the internal research agenda.

Skills

Python
ML research
Communication
Analytical thinking
Public speaking

Education

PhD in CS/ML/related

Tools

PyTorch
JAX
TensorFlow
CUDA

Job description

Fireworks AI is seeking a Member of Technical Staff on the Research team, targeting researchers finishing their PhD who want impact beyond publications. You will push the boundaries of generative AI, focusing on scalable LLMs and multimodal systems, with a mentor and real production problems from day one.

You will conduct foundational research, design novel architectures, and collaborate with experts in deep learning, distributed systems, and optimization to deploy your work at leading

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