Member of Technical Staff, Research (2026 PhD New Grad)
Remote • San Mateo • FullTime
Posted 5d ago
Job Location
San Mateo
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Research Engineer
About the job
Fireworks is seeking a Member of Technical Staff on the Research team, designed for PhD candidates who want their work to reach production. This role involves pushing the boundaries of generative AI, advancing LLMs and multimodal systems through foundational research. You will enhance model efficiency, accuracy, and scalability, directly shaping high-performance AI infrastructure. You will be paired with a senior researcher as a mentor and given a real research problem from day one, collaborating with top experts in deep learning, distributed systems, and optimization. The work you contribute will be deployed by leading companies, often within weeks.
Responsibilities
- Conduct foundational research to advance 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 to improve model quality.
- Integrate ideas and emerging directions from doctoral research into the internal research agenda.
Requirements
- PhD completed within the last 6 months or expected completion by December 2026 in a relevant field (Computer Science, Machine Learning, etc.).
- Research background in AI, Machine Learning, Physics, or related area, demonstrated through dissertation, publications, or projects.
- Experience solving analytical problems using quantitative approaches.
- Experience communicating research to diverse audiences.
- Proficiency in Python, C/C++, or similar languages.
- Hands-on experience with ML frameworks like PyTorch, JAX, or TensorFlow.
Benefits
- Mentorship from a senior researcher.
- Opportunity to work on real research problems from day one.
- Collaboration with top experts in deep learning, distributed systems, and optimization.
- Work with bleeding-edge technology.
- Opportunity for ownership and impact in a fast-growing team.
- Learn from world-class engineers and AI researchers.