Member of Technical Staff, Research

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 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 other similar languages

Preferred Qualifications

• PhD degree in Computer Science, Computational Physics, Mathematics, or a similar field
• Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions
• Experience having first-authored publications at peer-reviewed conferences or journals
• Experience working with ML frameworks such as PyTorch, TensorFlow, or Jax

About the Company

Fireworks builds the future of generative AI infrastructure, delivering high-quality models with fast, scalable inference. The company is a Series C startup valued at $4 billion, backed by Benchmark, Sequoia, Lightspeed, Index, and Evantic, and was founded by veterans of Meta PyTorch and Google Vertex AI.