Machine Learning Software Engineer - Media Understanding

London

Who we are

Twitter is the best place to stay informed about what’s happening, with videos, images, GIFs and Periscopes all forming an important part of this global conversation.  We’re using machine learning to better classify and filter the huge volume of media content that is shared on Twitter and are looking for a Machine Learning Software Engineer to help us build the models that power these systems.

 

We are made up of talented people from all over the world, and from many different backgrounds. We work together in our beautiful Central London location to build products that reach every person on the planet. Often we’ll relax together too – perhaps sharing lunch or a coffee, talking about what we’re doing, listening to and learning from one another. You’ll be a part of a close-knit team, working in concert with a focused organisation comprised of other Engineers, Designers and Product Managers.

We’ll both challenge and support you to do the best work of your career. You’ll have the opportunity to have a truly global impact.


What you’ll do

You will work as an integral part of our Media Understanding team to develop and implement models, algorithms, and systems that can be applied at scale to Twitter data. Examples of the kind of work you might do include building deep neural networks for image and video classification, object detection, similarity modeling and representation learning. You’ll work with both engineers and data scientists on the team and elsewhere at Twitter to build models and deploy them on our real-time inference platform.


Who you are

You probably have:

  • A strong interest and some experience in computer vision/machine learning. Exposure to deep learning, classification, object detection, pattern recognition, large-scale/high dimensional clustering.
  • A passion for applying state-of-the art technology to solve real-world problems at a large scale.
  • Knowledge of core CS concepts such as data structures, algorithms, and optimization.
  • Good communication skills, a pragmatic approach to problem solving, and a strong quantitative background.
  • Some experience with software engineering best practices (e.g., unit testing, code reviews, design documentation).
  • An interest in large datasets and modern data processing systems like Hadoop, Spark, Hive, and Presto.


Requirements

  • An advanced degree (masters, PhD) in machine learning/computer vision or equivalent work experience.
  • Strong software development experience (e.g., Python, Scala, Java, C++, etc.)
  • Strong machine learning/data analysis experience (e.g., Python, R, Matlab, etc.)
  • Familiarity with one or more Deep Learning frameworks (e.g., TensorFlow, Torch, etc.)
  • Experience in machine learning, artificial intelligence, statistics, or related fields


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

By applying you expressly make the following representations and warranties and give your consents as described below:
Twitter, Inc. collects your personal data for the purposes of managing Twitter, Inc.’s recruitment related activities as well as for organizational planning purposes globally. Consequently, Twitter, Inc. may use your personal data in relation to the evaluation and selection of applicants including for example setting up and conducting interviews and tests, evaluating and assessing the results thereto and as is otherwise needed in the recruitment processes including the final recruitment. 
Twitter, Inc. does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, Twitter, Inc. has international sites and Twitter, Inc. uses resources located throughout the world. Twitter, Inc. may from time to time also use third parties to act on Twitter, Inc.’s behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within Twitter, Inc. group of companies as well as to third parties acting on Twitter, Inc.’s behalf, including also transfers to servers and databases outside the country where you provided Twitter, Inc. with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and in the United States of America.

Personal Information

This field is required.
This field is required.
This field is required.
This field is required.
Required field. PDFs only; max file size is 1MB.
Required field. PDFs only; max file size is 1MB.

Twitter cares about your privacy and protecting your data. Please click the privacy policy link and acknowledge you have read and understood how Twitter treats your privacy and your data.

Would you like to receive email communication from Twitter about career opportunities? You may unsubscribe at any time.
Applicant Data - You have a choice. Can we keep your personal data for both the job you are applying for and any other Twitter jobs that we feel you may be a match for? If you choose yes we will retain your personal data for a period of twelve months to consider you for other job opportunities at Twitter.
Analytics - May we use personal data from your resume and application to analyze and improve the Twitter hiring experience.

Thank You

#jointheflock

Success
Thanks for applying!
Error
Submission failed. Please make sure all fields are correctly formatted.

Don't see the right fit?

Check out other opportunities at Twitter.