Member of Technical Staff - Evaluation Infrastructure

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

Benefits offered by this job

Equity stake

Job summary

SpaceXAI is seeking an engineer to help develop our evaluation infrastructure, building reliable, scalable systems that run all evaluations and support training next-generation models.

You will collaborate with modeling and evaluation teams, optimize performance across inference and capacity management, and deliver internal tooling to accelerate research while maintaining signal quality.

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.
• 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

Skills

Large-scale distributed systems

Problem solving

LLM inference

GPU workload scheduling

Model evaluation interfaces

Tools

LLM inference

GPU workload scheduling

Model evaluation interfaces

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.