RL Evaluation Infrastructure Engineer

SpaceXSI; Palo Alto (CA); On-site; USD 180,000 - 440,000; Full time

Benefits offered by this job

Equity

Medical, Vision & Dental coverage

401(k) retirement plan

Job summary

SpaceXSI is building Super Intelligence to help humanity understand the universe. The RL infrastructure team is looking for an engineer to help develop our evaluation infrastructure and run evaluations at scale.

You will collaborate with modeling and evaluation teams to develop new evals, maintain signal quality, and build internal tooling to support training our next-generation models, while identifying and resolving bottlenecks across the stack for efficient performance.

Qualifications

• 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.

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

Skills

Distributed systems

Problem solving

Job description

SpaceXSI is building Super Intelligence to help humanity understand the universe. The RL infrastructure team is looking for an engineer to help develop our evaluation infrastructure and run evaluations at scale.

You will collaborate with modeling and evaluation teams to develop new evals, maintain signal quality, and build internal tooling to support training our next-generation models, while identifying and resolving bottlenecks across the stack for efficient performance.