Machine Learning Engineer - Timelines Quality

Boston, MA

Twitter's Consumer Product Teams are responsible for core features of twitter.com, which includes Timelines, Tweets, Search, Trends, Recommendations, Notifications, Tweet details/permalink, and more! Our code operates at massive scale and speed, serving billions of requests per day, connecting hundreds of millions of active Twitter users to real-time information about their lives and the world we live in.

Who We Are:

At Twitter, our mission is to instantly connect users to the information most meaningful to them.  Realizing this involves work in areas such as machine learning, applied data science, recommendation systems, information retrieval systems, natural language processing, large graph analysis, spam, etc.

The team’s mission is to show users the content they care about. We build relevance and machine learning models and systems to power the core of the Twitter product. Every time users see new tweets we evaluate candidates from the nearly half a billion daily tweets to select, organize and deliver the best timeline. The recent products and technologies built by our team have shown consistent results in driving retention and are some of largest contributors of engagements on the platform.

What You'll Do:

Although you will work on cutting-edge problems, this position is not a research position. You will participate in the engineering life-cycle at Twitter, including designing distributed systems, writing production code, conducting code reviews and working alongside our infrastructure and reliability teams. You’ll apply data science, machine learning and/or graph analysis techniques to a variety of modeling and relevance problems involving users, their relationships, their tweets and their interests.

Who You Are:

You’re a relevance engineer, applied data scientist or machine-learning engineer who wants to work on exciting algorithmic and deep infrastructure issues. You’re experienced solving large scale relevance problems and comfortable doing incremental quality work while 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 operating Linux-based systems.

  • Knowledgeable of core CS concepts such as: common data structures and algorithms, profiling/optimization.

  • Passionate about working with large unstructured and structured data sets ( for example multi-terabyte+, 100MM+ daily transaction volumes).

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

Requirements:

  • B.S., M.S. or Ph.D. in Computer Science or equivalent degree and work 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.

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 Opportunity Employment 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.

This is where you come in! Please take a few minutes to provide us with your information. You are not required to provide this information and you may decline to disclose. Your decision to provide information (or not) will not affect your employment or opportunities at 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.

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

Twitter does not accept any unsolicited resumes from recruiting agencies and will not pay fees associated with any such resumes. Agencies, please do not send resumes to any Twitter location, employee, or email address.

Twitter, Inc. is committed to working with and providing access and reasonable accommodations to applicants with physical or mental disabilities. If you need an accommodation in order to apply for open job opportunities, please submit a description of your accommodation request to RARequest-Recruiting@twitter.com. This email is only for accommodation requests related to the application process.

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