Fireworks’ state of the art training and inference platform take you beyond the frontier, transforming open models into your specialized intelligence. Backed by Bessemer, Index and Lightspeed.
About the role
As a Member of Technical Staff on the Research team, you’ll push the boundaries of generative AI, advancing LLMs and multimodal systems through foundational research. Your work will enhance model efficiency, accuracy, and scalability, directly shaping our high-performance AI infrastructure. You'll collaborate with top experts in deep learning, distributed systems, and optimization to bring cutting-edge research into real-world applications.
What they're looking for
- 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
- 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
More about this role
Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
As a Member of Technical Staff on the Research team, you’ll push the boundaries of generative AI, advancing LLMs and multimodal systems through foundational research. Your work will enhance model efficiency, accuracy, and scalability, directly shaping our high-performance AI infrastructure. You'll collaborate with top experts in deep learning, distributed systems, and optimization to bring cutting-edge research into real-world applications. You'll also have the opportunity to shape how some of the world’s leading companies build and deploy AI through the models and tools you help...
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