SpaceXAI is a small, highly motivated engineering team focused on building AI systems that understand the universe. The RL infrastructure team seeks an engineer to develop and maintain large-scale evaluation infrastructure, collaborating closely with modeling and evaluation teams to improve evaluation quality and support model training.
Member of Technical Staff - Evaluation Infrastructure en xAI
Presencial - Palo Alto, CA
Más vacantes en xAISalary
USD 180,000 - 440,000
Requirements
Skills
- Experience in building, debugging, and optimizing efficiency of large-scale distributed systems
- Willingness to dive deep and solve hard problems at all levels of the stack
- Experience in LLM inference
- Experience in GPU compute management, workload scheduling, and dynamic resource optimization
- Experience in developing interfaces for comparing models and evals
Responsibilities
- Build highly reliable, efficient, and easy to use infrastructure that runs all our evaluations at scale
- Collaborate closely with modeling & evaluation teams on developing new evals, maintaining evaluation signal quality, and building internal tooling to support training our next-generation of models
- Identify and resolve performance bottlenecks in all layers of the eval infrastructure stack, including inference, capacity fleet management, asynchronous eval orchestration, and more
Technologies
LLM inferenceGPU compute managementDistributed systems
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