Мэтч & Сопровод
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Описание вакансии
TL;DR
Software Engineer (AI): Building and optimizing multimodal product experiences for ChatGPT Shopping with an accent on fullstack development, AI-powered workflows, and interactive consumer interfaces. Focus on designing scalable backend systems, rapid prototyping of AI-native features, and ensuring high-quality user experiences for millions of users.
Location: San Francisco (Onsite)
Compensation: $230,000 – $385,000 + Equity
Company
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
What you will do
- Design and build end-to-end product experiences across web services, APIs, and modern frontend applications.
- Partner with product, design, and research teams to rapidly prototype and launch new AI-native experiences.
- Develop scalable backend systems that power personalized, real-time product interactions.
- Build intuitive, performant interfaces that integrate multimodal capabilities like text and images.
- Iterate quickly based on user feedback, experimentation, and product metrics.
- Define engineering standards, architecture, and technical direction for the product area.
Requirements
- Significant experience building consumer-facing products end to end.
- Strong proficiency in modern frontend technologies such as React, TypeScript, or Next.js.
- Experience building scalable backend services using Python, Go, Node.js, Rust, or comparable technologies.
- Familiarity with distributed systems, APIs, and cloud infrastructure.
- Strong systems thinking with exceptional attention to detail.
- Ability to communicate effectively across engineering, design, product, and research teams.
Nice to have
- Background working with AI, machine learning products, search, recommendations, personalization, or multimodal systems.
- Track record of shipping products quickly while maintaining high engineering quality.
Culture & Benefits
- Work alongside world-class researchers, engineers, and product thinkers.
- Focus on shipping impactful products with a bias toward curiosity and ownership.
- Opportunity to invent new interaction paradigms for AI-powered consumer experiences.
- Commitment to safety and human-centric AI development.
- Inclusive work environment that values diverse perspectives and voices.
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