Job Description

This team is focussed on helping consumers discover content that is interesting and relevant to them. While Home Timeline shows curated tweet forward content based on the following graph, Explore shows recommended content based on interests and engagements without the requirement of a robust follow graph. Explore is the home of Trends which captures the mood of the public conversation, of Topics which help customers discover and stay in touch with their interests, and of Search. 

We build large scale personalized recommendation engines utilizing different signals such as social network, user activity, and geolocation. We work on trend detection, contextualization, graph algorithms, recommendation systems, distributed systems, and social graph analyses.

As a part of this team, you will get to solve large scale relevance problems and improve product quality. You will build new systems, perform a/b testing to launch new features and enable future product improvements.

Qualifications

You have a passion for machine learning and improving the ways people consume the world, live. You’re a relevance engineer, applied data scientist or machine-learning engineer who wants to solve customer problems using Machine Learning. You’re experienced solving large scale relevance problems and comfortable building brand new systems to enable future quality improvements.

• Knowledgeable in one or more of the following: machine-learning, information retrieval, recommendation systems, social network analysis

• Designed and evaluated approaches for handling high-volume real-time data streams.

• A strong technical advocate with a background in Java, C++, or Scala, and Python.

• Comfortable conducting design and code reviews.

• Experienced in collaborating across multiple teams including analytics, product management, and operations.

REQUIREMENTS:

• BS, MS, or Ph.D. in Computer Science with 4+ years of related or equivalent experience.

• Knowledge of Machine Learning techniques and Recommendation systems.

Additional Information

A few other things we value:

• CHALLENGE - We solve some of the industry’s hardest problems. Come to be challenged, learn, and thrive as an engineer.
• DIVERSITY - Diversity makes us a better organization and team. We value diverse backgrounds, ideas, and experiences.
• WORK, LIFE, BALANCE - We work hard, but we believe with hard work should come balance.
• COLLABORATION - There’s that saying, “If you want to go fast, go alone. If you want to go far, go together.” We want to go far.

WE ARE COMMITTED TO AN INCLUSIVE AND DIVERSE TWITTER. TWITTER IS AN EQUAL OPPORTUNITY EMPLOYER. WE DO NOT DISCRIMINATE BASED ON RACE, ETHNICITY, COLOR, ANCESTRY, NATIONAL ORIGIN, RELIGION, SEX, SEXUAL ORIENTATION, GENDER IDENTITY, AGE, DISABILITY, VETERAN, GENETIC INFORMATION, MARITAL STATUS OR ANY OTHER 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