Member of Technical Staff - Evaluation Infrastructure
At a glance
- Salary
- $180k–440k/yr
- Location
- Palo Alto, CA
- Work type
- On-site
- Level
- Staff
- Posted
- today
- Verified live
- today
- Extra pay
- Equity
- Skills
- OrchestrationEval harnessesGPU
- Filed under
- AI AgentsEvals & QualityInference / Serving
How the pay compares
This range sits 21% above the $255k median for Staff AI Agents roles in the United States on this board — higher than 117 of the 139 others that publish pay.
This roleMiddle half of the 140 that publish payMedian10th–90th percentileAnnual, USD
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Job description
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
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.
SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.