# Member of Technical Staff, Research

**Company:** [Fireworks AI](https://hotfix.jobs/companies/fireworks-ai)
**Location:** San Mateo, CA
**Role:** AI Research
**Salary:** $200k – $350k/yr
**Skills:** artificial intelligence, Machine Learning, LLMs, multimodal systems, c/c++, Python, PyTorch, TensorFlow, JAX, Deep Learning, Distributed Systems, optimization, model architectures, Model Training, scalable model serving
**Posted:** 2026-08-04

> Conducts foundational research on LLMs and multimodal systems, developing architectures, training methods, and optimization techniques and helping transition prototypes into production. The role requires an AI/ML research background, analytical problem-solving, programming experience, and strong research communication.

## Job Description

## Responsibilities
- Conduct foundational research to advance the capabilities, efficiency, and reliability of LLMs and multimodal systems.
- Design, implement, and evaluate novel model architectures, training methods, and optimization techniques.
- Collaborate with engineering teams to transition research prototypes into production-grade systems.
- Analyze empirical results, identify performance bottlenecks, and iterate quickly to improve model quality.
- Contribute to internal research strategy by identifying high-impact opportunities and emerging trends in AI.

## Requirements
- Research background in artificial intelligence, machine learning, physics, or a similar field.
- Experience solving analytical problems using analytic and quantitative approaches.
- Experience communicating research to audiences with different backgrounds.
- Experience coding in C/C++, Python, or similar languages.

## Nice-to-Haves
- PhD in computer science, computational physics, mathematics, or a similar field.
- Research and engineering experience demonstrated through grants, fellowships, patents, internships, work experience, and/or coding competitions.
- First-author publications at peer-reviewed conferences or journals.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX.

## Benefits
- Work on challenging AI infrastructure problems, including low-latency inference and scalable model serving.
- Build with cutting-edge technology affecting how businesses and developers use AI.
- Significant ownership and impact in a fast-growing team.
- Collaboration with experienced engineers and AI researchers.

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