Top Tech Jobs & Startup Jobs

Lead sourcing strategies to identify and engage top-tier engineering talent, build and maintain pipelines of passive candidates, collaborate with hiring managers, use advanced sourcing tools, represent OpenAI at events, and maintain candidate data and metrics to inform hiring.

Design and run empirical experiments to measure and improve chain-of-thought and model monitorability. Build evaluations and monitoring methods, analyze model behavior, investigate training interventions, translate findings into oversight and training recommendations, collaborate across research and engineering teams, and publish results that advance alignment science.

Design and build systems that automate and accelerate research workflows: evaluations, data and evaluation flywheels, agent harnesses, RL environments, experiment orchestration, sandboxed runtimes, integrations with research infrastructure, and metrics to measure research productivity and safety.

Design and build end-to-end learning product experiences inside ChatGPT across frontend and backend. Implement multimodal capabilities (text, images, voice), develop scalable services and APIs, collaborate with PMs, designers, and researchers to integrate model capabilities, iterate via experimentation and user feedback, and improve performance, reliability, and usability of learning features.

Lead and scale the Statsig product engineering organization to deliver experimentation, feature rollout, dynamic configuration, and analytics platform capabilities. Define multi-year strategy, establish operating model and ownership, guide technical direction across frontend/backend/SDK/data/infrastructure, partner cross-functionally, balance adoption with reliability and safety, and build senior leadership bench to integrate Statsig as core product infrastructure at OpenAI.

The role involves developing and scaling Codex for enterprise use, focusing on product evolution, system reliability, and customer engagement. Responsibilities include building secure systems, leading real-world deployments, and creating enterprise capabilities for operational improvements.

Design and debug software for embedded devices, working closely with hardware teams to optimize performance and deliver reliable systems.

The role involves porting and validating workloads on new platforms, creating benchmarks and stress tests, and improving performance in AI systems.

As a Forward Deployed Engineer, you will lead government AI model deployments, design full-stack systems, and ensure successful integrations and relationships with public sector stakeholders.

The role involves developing distributed systems software in Rust and Python, optimizing performance, reliability, and overseeing large-scale machine learning workloads.