Sr. Staff Machine Learning Applied Engineer - Revenue Science

Boulder, CO

 

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 distributed machine learning system evaluates, in real-time, millions of ad candidates behind the scenes 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.

 

We care deeply about:

  • Staying abreast of and leveraging recent advances in machine learning.
  • Maximizing ROI for businesses that advertise on Twitter
  • Maximizing the value that Twitter user’s get from ads they see on Twitter
  • Maximizing Twitter’s revenue

 

Who You Are:

  • A machine learning software engineer with a passion for working on exciting algorithmic and deep infrastructure issues in ML environments.
  • You thrive on working in concert with other smart people, including from distributed offices.
  • You communicate fluidly, at the level of your audience, and seek to understand and being understood.
  • You have the ability to take on complex problems, learn quickly, iterate, and persist towards a good solution.
  • You take pride in polishing and supporting our products.
  • You work hand-in-hand with modeling engineers and data-scientists, and your passion is to enable them with better infrastructure.

 

Responsibilities:

  • Work with large unstructured and structured data sets (multi-terabyte, 100MM+ daily transaction volumes)
  • Review literature for the latest machine learning techniques
  • Design experimental features, model architectures, and loss functions for improving the value extracted from each real-time ad auction on Twitter

 

Qualifications:

  • Senior level 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, 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.

By applying for this role, you could choose to work in the following locations:
Sunnyvale
Boston
New York City
Seattle
Boulder
Los Angeles
San Francisco

Engineering Hiring Process

Step 1

Once your application is received, a recruiter will reach out pending your qualifications are a match for the role.

Step 2

If your background is a match, you may have 1-2 technical phone interviews or be given the chance to provide a work sample depending on the role.

Step 3

If the phone interviews go well or your work sample is strong, the final step includes interviews with 5-6 people held onsite in our office.

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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