ML Infrastructure Engineer

Harrison Clarke; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Strong equity package

Job summary

Stealth Frontier AI Lab in the Bay Area is seeking a Member of Technical Staff to push the boundaries of frontier models and scale AI systems in production. You will architect and optimize large-scale LLM workloads on GPU clusters, enabling advanced training and inference performance for state-of-the-art models.

The role emphasizes developing test-time learning, agentic reasoning, and long-horizon evaluations, with hybrid work in the Bay Area and strong equity package in place.

Responsibilities

• Architect and optimize large-scale LLM workloads on GPU clusters.
• Develop test-time learning systems and agentic setups.
• Evaluate intelligence, reliability and long-horizon reasoning.
• Deploy production AI systems at scale.

Skills

LLMs

GPU clusters

Large-scale workloads

Model evaluation

Tools

GPU clusters

Job description

Member of Technical Staff | Stealth Frontier AI Lab | Bay Area (Hybrid)

I'm partnering with a stealth frontier AI lab building the next step for LLMs. Its systems learn from experience, improve themselves over time, reason across long time horizons and go beyond static prediction.

The company is backed by top-tier investors and already valued significantly. Their goal isn't to publish papers. It's to build technology that changes how intelligent systems learn and operate in the real world.

What you'll work on

• Models that learn and improve from experience
• Test-time learning systems
• Agentic systems that reason, plan, recover from failure and adapt on the fly
• Evaluations for intelligence, reliability and long-horizon reasoning
• Production AI systems built to run at scale in the real world

The Role

• You'll architect and optimize large-scale LLM workloads on GPU clusters, pushing the limits of training and inference performance for frontier models

The setup

• Hybrid in the Bay Area, currently one day a week in person in the bay area
• Strong equity package