Machine Learning Applied Engineer - Revenue Science

San Francisco, CA

Who we are

In Twitter, we serve billions of ad impressions and generate millions of dollars in revenue per day. For every ad shown on Twitter, our prediction system (the largest ML service at Twitter) evaluates thousands of ad candidates behind the scene to find the best one. When executed successfully, we create aha! moments for our users & advertisers and add huge value to the Twitter business & revenue.


Our mission is to build state of art machine learning infrastructure and make make Twitter ads as relevant in the moment as organic content on Twitter.


Who you are

You’re a back-end ML software engineer who wants to work on exciting algorithmic and deep infrastructure issues in ML environments.


Responsibilities

  • Work with large unstructured and structured data sets (multi-terabyte+, 100MM+ daily transaction volumes)
  • Design and evaluate novel approaches for handling high-volume real-time data streams in a machine learning environment
  • Code using primarily Java and Scala; Map-Reduce frameworks such as Pig and Scalding; and scripting languages such as Python
  • Learn new machine learning, data mining, and/or natural language processing techniques for a variety of modeling and relevance problems involving users, their tweets, their interests, twitter ads, relationship among entities
  • Conduct online A/B testing, interpret and understand algorithm performance

Qualifications

  • 3+ years relevant experience and BS or MS or PhD in computer science 
  • Fluent in one or more object oriented languages like Java, Scala, C#, C++
  • Experience with Hadoop, Pig or other MapReduce-based architectures
  • Knowledgeable of core CS concepts such as: common data structures and algorithms
  • Comfortable conducting code reviews
  • Experienced in operating Linux-based systems
  • Passionate about working with large unstructured and structured data sets

Senior Qualification 

  • 3+ years relevant experience and MS or PhD in computer science 
  • Fluent in one or more object oriented languages like Java, Scala, C#, C++
  • Experience with Hadoop, Pig or other MapReduce-based architectures
  • Knowledgeable of core CS concepts such as: common data structures and algorithms
  • Comfortable conducting design and code reviews
  • Experienced in operating Linux-based systems
  • Passionate about working with large unstructured and structured data sets

Staff Qualification

  • 5+ years relevant experience and MS or PhD in computer science 
  • Fluent in one or more object oriented languages like Java, Scala, C#, C++
  • Experience with Hadoop, Pig or other MapReduce-based architectures
  • Knowledgeable of core CS concepts such as: common data structures and algorithms
  • Comfortable conducting design and code reviews
  • Experienced in operating Linux-based systems
  • Passionate about working with large unstructured and structured data sets




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.


Hiring Process

Step 1

After you apply, a recruiter may reach out to you for an introductory call.

Step 2

If your background is a match for the role, you may phone interview with 1-2 people.

Step 3

If you continue through the process, you will come onsite 1-2 times to interview with a total of 5-10 people.

Application

Personal Information

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U.S.  Equal Employment Opportunity Information  (Completion is Voluntary)

At Twitter, we have a bold aspiration to reach every person on the planet. We believe that goal is more attainable with a team that understands and represents different cultures and backgrounds and we are committed to an inclusive and diverse Twitter.

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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.

You can view the ‘EEO is the Law’ poster here.

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