Senior Machine Learning Engineer - Ads
Role summary
We are seeking a Senior Machine Learning Engineer specializing in Ads to join our team. This role involves developing and deploying machine learning models, designing and building scalable ML systems, and analyzing data to drive improvements in our advertising products. You will collaborate with cross-functional teams and stay current with the latest advancements in machine learning and ad technology. This position is based in New York, NY or San Francisco, CA, with a competitive salary range and eligibility for bonus, equity, and comprehensive benefits.
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For New York, NY-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
Sample Uber interview questions
- 1
Design a truck tracking system that supports filtering by truck number and includes an interface
system designmedium - 2
Design Uber Eats
system designmedium - 3
Given a sorted array of integers (which may include negatives), return the squares of the numbers
codingmedium - 4
Find the minimum characters to insert to make a string a palindrome
codingmedium - 5
Given an array of integers and a number N, find the length of the longest contiguous subarray such
codingmedium
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