Member of Technical Staff, Platform

Arcada Labs Incorporated • San Francisco, CA

1d

About The Position

AI systems are getting better on benchmarks, but still fail in real-world use. At Arcada Labs, we build products used by millions of people around the world that give us direct access to real human preference and judgment. That lets us evaluate models on what people actually care about, not just what benchmarks happen to measure. Our products have reached millions of users across 190+ countries and are already used by frontier labs. We’ve collaborated on announcing model releases with OpenAI, xAI, Meta, and Google DeepMind, and more. Whoever defines the evaluations defines what models become good at. We create the evolutionary pressure that pushes models toward what people actually want. We’re a small, deeply technical team with people from Harvard, Berkeley, Apple, Microsoft, Amazon, and Meta, backed by Index Ventures, YC, Conviction, SV Angel, BoxGroup and others.

Requirements

• Strong production engineering experience (full-stack; open to backend-heavy or frontend-heavy profiles).
• Experience building or operating distributed systems at scale
• Comfortable owning ambiguous problems end-to-end and shipping reliably
• Ability to build, debug, and ship real systems

Nice To Haves

• Experience with real-time or data-intensive systems is a plus
• Experience or strong familiarity with AI systems, agentic workflows, model development, or evaluation

Responsibilities

• Design, build, and own distributed systems and core platform infrastructure end-to-end across the stack - from user-facing product surfaces and real-time interactions to evaluation pipelines, model orchestration, and the systems underneath them.
• Build fast, reliable, and intuitive interfaces for real-world workflows.
• Build distributed systems that power real-time product experiences, user interactions, and large-scale data flows.
• Build evaluation pipelines that turn millions of pairwise preferences into reliable model signals.
• Build model and agent orchestration systems that run complex, multi-step workflows across products and evaluations.
• Build core platform infrastructure for deploying new product categories, multi-turn interactions, and reusable internal abstractions.
• Build production systems that are fast, reliable, and observable under real-world load.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed