What’s Uber like in terms of their business, the role, and the work culture?

Well, you’d be diving into some really exciting stuff! You’d be building end-to-end AI products, which means everything from prototypes to scalable deployments. You’d also work with large language models and multimodal AI to create applications that enhance user experiences for riders, drivers, and merchants.

So, your main responsibilities would include implementing automated evaluation systems, designing services and APIs that connect to leading AI models, and developing data pipelines for training and evaluating AI models. You’d also collaborate with different teams to solve user problems with AI solutions and mentor other engineers and data scientists.

You’d need at least 10 years of experience in software engineering, data science, or machine learning, with a solid track record of shipping production AI systems. A deep understanding of large language models and strong backend skills in languages like Python, Go, or Java are also essential. Plus, experience with data pipelines and cloud environments would be super helpful!

Actually, they prefer candidates with a Master’s or Ph.D. in Computer Science, Data Science, or a related field. But what’s most important is your experience and skills in the industry!

Collaboration is really key! You’d be working with engineers, product managers, designers, and data scientists to define user problems and create AI-powered solutions. Good communication skills are a must to bridge the gap between technical and non-technical teams.