Top Tech Jobs & Startup Jobs

The Solutions Engineer collaborates with customers to understand their needs, guide AI strategies, provide demos, and ensure effective implementations of OpenAI solutions.

Design and implement dataset infrastructure to support training and inference pipelines. Collaborate with researchers and build scalable dataset APIs, while maintaining performance and reliability across systems.

The Solutions Architect will partner with startups to develop and scale Generative AI applications, providing technical guidance and prototyping support, while synthesizing feedback for product improvement.

The Simulation Realism Engineer will enhance realism in robotic simulations, develop engineering solutions, and collaborate across teams to improve simulation accuracy and reliability.

Design and build distributed systems for failure detection and observability in AI training jobs, enhancing reliability and performance at scale.

Design and implement end-to-end mitigations for model-enabled cyber misuse, integrate safeguards across product surfaces, evaluate trade-offs, collaborate on threat modeling, and execute red-teaming and testing to iterate protections against evolving attacks.

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

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.

The AI Support Engineer will troubleshoot complex customer issues, utilize emerging AI technologies for support, and improve operational processes in a hybrid team environment.