Top Tech Jobs & Startup Jobs

The role involves owning the product development lifecycle for people products, collaborating with stakeholders, and applying AI innovations in HR and recruiting.

Build end-to-end safety and risk operating models for a new consumer hardware product: define incident taxonomies, escalation criteria, workflows, tooling requirements, launch-readiness plans, and monitoring. Operate priority workflows through launch, use telemetry and case data to improve systems, and coordinate cross-functional ownership across Product, Engineering, Legal, Privacy, and Policy.

Lead system signal integrity design for AI supercomputer products, collaborating with various engineering teams to improve signal and power integrity. Perform simulations and troubleshoot issues.

Research and develop improvements to machine learning models, collaborate with research and product teams, and evaluate model performance.

As a Research Engineer at OpenAI, you will design and optimize architectures for large language models, conduct experiments, and enhance model intelligence and efficiency.

The role involves designing and building scalable, reliable database systems, collaborating with product teams, and maintaining system operational excellence. Key responsibilities include improving performance, debugging issues, defining technical strategies, and enhancing engineering productivity.

Conduct research and engineering to improve model capabilities (personalization, instruction following, tool-use). Own research agenda, build robust evaluations, implement and debug code across the ML research stack, and collaborate with product and research teams to deploy models to users.

The Product Manager will develop strategies to scale billing operations, improve customer experiences, and collaborate with finance, operations, and engineering teams.

The Senior Support Engineer will provide technical support, work on monitoring and alerting systems, and lead incident response for critical issues related to OpenAI's API.

The role involves owning backend systems, improving performance, operating critical infrastructure, and collaborating with teams to enhance reliability in research environments.