Recos Platform team builds recommendations infrastructures such as candidate generation and feature generation engines for product service areas. The unrivaled challenges that we face at Twitter are both the data scale and the real-time nature of the product. How do you find the most meaningful content among hundreds of millions of new tweets for hundreds of millions of users every day at Twitter? We build large scale personalized recommendation engines utilizing different kinds of signals such as social network, user activity, and geo location. Most of our work is about graph algorithms, recommendation systems, machine learning, distributed systems, and social graph analysis.
You are focusing on the heavy software engineering required for building large-scale Machine Learning applications. This includes ML platform engineering, where you are building ML platform products for your customers. More specifically, you are doing the following kind of Machine Learning and Software Engineering work:
We’re looking for a Machine Learning Software Engineer with a strong background in Software Engineering and familiar with Machine Learning techniques.
BS, MS or PhD in Computer Science with 5+ years experience or equivalent experience.
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
After you apply, a recruiter may reach out to you for an introductory call.
If your background is a match for the role, you may phone interview with 1-2 people.
If you continue through the process, you will come onsite 1-2 times to interview with a total of 5-10 people.
Tagged as: senior, software, software engineer
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