Member of Technical Staff, Research (2026 PhD New Grad)
Fireworks AI · San Mateo · New York
CHECKED 1H AGO
Infrastructureremoteentry-level$200k–$300k
At a glance
Highlights
- Advance LLMs and multimodal systems to power production AI infrastructure.
- See models you help create deployed by leading companies within weeks.
- Pair with a senior researcher mentor and own a real problem from day one.
Ideal candidate
Recent or soon-to-finish PhD researcher who wants work to reach production, not just publication. Curious, analytical, and collaborative, excited to turn doctoral ideas into efficient, reliable models with real-world impact.
Requirements
- PhD completed within last 6 months or expected by December 2026 in Computer Science, Machine Learning, Computational Physics, Mathematics, Electrical Engineering or similar
- Research background in AI, Machine Learning, Physics or related area shown through dissertation, publications or projects
- Experience solving analytical problems using analytic and quantitative approaches
- Experience communicating research to audiences with different backgrounds
- Proficiency coding in Python, C/C++ or similar languages
- Hands-on experience with ML frameworks such as PyTorch, JAX or TensorFlow
- First-authored publications at top-tier venues such as NeurIPS, ICML, ICLR, MLSys preferred
- Experience with large-scale training, distributed systems, GPU kernels or inference optimization preferred
Lab profile
About Fireworks AI
Platform for specialized intelligence to build, train, and serve tailored AI models.
What they build
- Platform to build, train, and serve tailored AI models
- Hundreds of open models for production AI
- Text, image, embedding, audio, and multimodal models
Known for
- Founded by team behind PyTorch
- Specialized intelligence tailored to customer data and workflows
- Production-grade AI for text, image, audio, and multimodal workloads
Key facts
- Backed by AMD, NVIDIA, Sequoia Capital, Benchmark Capital, Index Ventures, Lightspeed, TCV, and Atreides