Machine Learning Engineer - Safety Reporting

San Francisco, CA

 

Who we are:

Our mission is to provide the safest platform for our users possible. We do this by using machine learning to help detect and categorize abuse and toxicity on the platform. Safety is our priority and you can help - https://blog.twitter.com/official/en_us/topics/product/2017/Our-Safety-Work-Results-Update.html

What you will do:

Apply the latest machine learning algorithms for text, image and user classification and improve our abuse and toxicity models.

Who you are:

You’re a machine learning engineer with an interest in safety and abuse.

Requirements:

  • BS, MS, or PhD in computer science, data mining, machine learning, information retrieval, recommendation systems, natural language processing, statistics, math, engineering, operations research, or other quantitative discipline; or equivalent work experience

  • 2+ years industry experience

  • Skilled in using various machine learning algorithms for classification and regression

  • Fluent in one or more object oriented languages like Java, Scala, C#, C++

  • Experience with Spark, 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

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 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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