AI Jobs

This role supports Scale AI's enterprise field marketing and events initiatives, including trade shows, executive events, webinars, and the annual Scale Leadership Summit. The ideal candidate combines strong project management skills, marketing knowledge, and passion for AI technology to drive event execution and lead generation.

As a Business Insights Intern, you will improve and extend OpenAI's competitive intelligence system by identifying opportunities to make workflows faster, smarter, and more scalable, then lead a project that delivers measurable improvements to how intelligence is generated and used across the company. The ideal candidate combines analytical thinking, structured problem-solving, and practical execution with curiosity about the AI landscape and comfort working with ambiguity.

This role focuses on designing and implementing A/B tests, developing data pipelines, and owning the experimentation roadmap while collaborating with product and engineering teams. Key skills include A/B testing, causal inference, Bayesian methods, Python, and statistical analysis with tools like Looker.

This role involves capturing structured notes on product functionality, collaborating with developers and product managers, and documenting workflows to feed into AI systems for automated documentation generation. Key skills include business analytics, data engineering, ETL pipelines, and data preparation with strong focus on testing and identifying edge cases.

Design and implement key compute, memory, and interconnect components for OpenAI's custom AI accelerator, translating AI workloads into efficient hardware structures with significant ownership across definition, modeling, and implementation. Required skills include RTL design, microarchitecture, performance modeling, hardware/software co-design, and collaboration with verification and physical design teams.

This role involves training AI models and providing analytics expertise as a contractor for DataAnnotation. Key skills include data analysis, machine learning model evaluation, and the ability to work independently on flexible schedules.

This role focuses on developing and researching machine learning algorithms and models for quantitative trading and financial applications at Susquehanna International Group. The position requires strong foundations in machine learning theory, mathematical optimization, and programming expertise.