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

Well, you’ll be diving into some pretty exciting stuff! You’ll design and implement machine learning models that balance different business interests, like organic relevance and sponsored content. Plus, you’ll collaborate with engineers to create the next generation of recommendation systems while navigating the complexities of user behavior.

You’ll need at least 5 years of experience in Applied Science, Machine Learning, or Data Science, or a Ph.D. equivalent. Specialized knowledge in ranking, recommender systems, or search is key, along with experience in training and deploying deep learning models. Proficiency in Python and SQL is also a must!

Great question! You’ll spend about 40% of your time on algorithm development and model training, 30% on designing experiments and doing causal inference analysis, 20% collaborating with product managers and machine learning engineers, and the remaining 10% monitoring production performance.

You’ll be tackling high-impact problems using advanced techniques like deep learning and reinforcement learning. It’s all about applying cutting-edge research to real-world challenges, so you’ll really get to see the impact of your work!

Absolutely! You’ll be working closely with product managers and engineers to align on technical roadmaps and ensure that your scientific insights translate into actionable business strategies. It’s all about teamwork!