Full Stack Software Engineer

MLabs is a well-funded, early-stage startup tackling one of the most critical challenges in the AI industry: ensuring AI applications are safe, reliable, and production-ready. Founded in 2024, they're already collaborating with industry leaders like OpenAI and Anthropic, along with other major enterprises.

The company is building a cutting-edge platform that provides best-in-class tools for evaluation, testing, and continuous improvement of AI models. Their team consists of top talent from prestigious companies like Datadog, Citadel, and McKinsey, and they're backed by founders and executives from tech giants including Google, Stripe, and Databricks.

As a Full-Stack Software Engineer, you'll have the opportunity to directly impact how AI is tested, verified, and deployed across the industry. You'll take ownership of end-to-end feature development, from designing user-facing workflows to creating reusable frontend components and visualizations for complex concepts.

The role offers unique opportunities to collaborate directly with the research team on safe AI tooling and interface with customers to design intuitive workflows and guide them in evaluation methodologies. You'll be working in a New York-based office with a strong in-office culture, contributing to a mission-critical platform in the AI safety space.

The ideal candidate is a pragmatic and outcomes-focused problem solver who's passionate about building beautiful and intuitive user experiences. You'll be working with modern technologies including TypeScript, React, and various backend technologies, while having the flexibility to wear multiple hats in an early-stage startup environment.

This is an excellent opportunity for a senior-level engineer who wants to make a significant impact in the AI safety space while working with cutting-edge technology and directly influencing product direction. The role offers competitive compensation, including equity, and the possibility of visa sponsorship for exceptional candidates.