Software Engineer - Machine Learning Data and Observability, Cortex

Boulder, CO

Who we are

Our mission in Cortex is to empower teams at Twitter to effectively practice Machine Learning (ML) within Twitter by providing both a platform and modeling expertise. If you’re interested in the platform side of this and get excited about reusable, powerful tools which increase developer efficiency, read on!

Our software in the Cortex Platform org allows ML practitioners to share features, automate workflows, train models using advanced techniques, and serve models quickly and with confidence in their operation.

Our team specifically is called Machine Learning Data and Observability, and we seek to provide visibility, awareness, and understanding of the ML lifecycle. Our efforts affect every other product in Cortex in an effort to make our users able to understand their data, data pipelines, and models.

What you’ll do

If this sounds like a team you want to be a part of, fantastic! We are looking for experienced engineers who love writing code, understanding our customers, and collaborating with teammates to ship useful software. More specifically, you will:

  • Design and own projects and drive their delivery
  • Explore problems in partnership with our users to understand new technical domains
  • Craft pragmatic solutions using existing tools as well as writing our own
  • Help drive larger decisions within Cortex that connect with our core mission

Sample projects we’ve worked on

  • Ongoing collaboration with Twitter’s ML Ethics, Transparency, and Accountability team
  • Instrumenting data anomalies in production model systems
  • Migrating and improving the data pipelines behind core models

Who you are

You prefer to collaborate with users to uncover their most pressing problems and incrementally deliver pragmatic solutions. You love bringing transparency to systems and you've seen how logging, metrics, observability, and visualizations can help organizations run better. You've added these approaches and more to your toolkit. Additionally, you consider yourself an engineer first and foremost with an interest in the fields of ML and Data Science.

On our team we need people who

  • 4+ years of professional experience
  • Enjoy mapping ambiguous business problems into technical plans and solutions.
  • Have professional experience with a production grade typed language. Java/Scala, Go, C# or C++ is ok, whereas Ruby/Python or JavaScript alone is not enough.
  • Have implemented efficient distributed data systems with both online and offline processing.
  • Enjoy working with our internal customers and having empathy for their problems.
  • Embrace a growth mindset and want to improve ourselves, the team, our process, and the products we work on.

Additionally it would be nice if you had 

  • Scala experience, development experience with Python, Jupyter Notebooks, Spark.
  • Experience specifying re-usable, ergonomic libraries.
  • Basic understanding of ML modeling lifecycle workflows to help communicate with our customers.
  • A proven understanding of data processing and storage technologies. We work Hadoop and Scalding to analyze large datasets.

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

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

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.

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 select “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.

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