Member of Technical Staff - Evaluation Infrastructure

xAI

• $180K — $440K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

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 (preferred)
  • Experience in GPU compute management, workload scheduling, and dynamic resource optimization (preferred)
  • Experience in developing interfaces for comparing models and evals (preferred)

Responsibilities

  • Build highly reliable, efficient, and easy-to-use infrastructure for scalable evaluations
  • Collaborate closely with modeling and evaluation teams to develop new evals and maintain signal quality
  • Create internal tools to support training next-generation models
  • Identify and resolve performance bottlenecks in the eval infrastructure stack
  • Oversee inference, capacity fleet management, and asynchronous eval orchestration

Benefits

  • Equity participation
  • Comprehensive medical, vision, and dental coverage
  • Access to a 401(k) retirement plan
  • Short and long-term disability insurance
  • Life insurance
  • Various discounts and perks
Full Job Description
ABOUT THE ROLE:

The RL infrastructure team is looking for an engineer to help develop our evaluation infrastructure.

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
BASIC 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
PREFERRED SKILLS AND EXPERIENCE:
  • Experience in LLM inference
  • Experience in GPU compute management, workload scheduling, and dynamic resource optimization
  • Experience in developing interfaces for comparing models and evals
COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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