Sr. Staff Software Engineer - Experimentation Platform

The Position

As a senior staff software engineer on the PIE team, you will be a leader in setting the direction and vision of experimentation and causal inference at Twitter.  You'll work directly with numerous teams across the company to improve Twitter’s rate of innovation by helping them effectively leverage experimentation techniques.

What you’ll be doing: 

  • Work across teams and functions to design and architect software at the cutting edge of experimentation and inference.  Understand our customer’s problems, and balance their needs against methodological rigor to help move Twitter forward.

  • Work with leadership to establish direction for experimentation and inference at Twitter, by setting long-term vision, defining strategy, and communicating to stakeholders.

  • As a senior staff level engineer, you will multiply the effectiveness of the team by mentoring both new and experienced engineers, providing code and design reviews, setting the bar for quality high, and focusing the team’s execution on high-impact projects.

  • Participate in all phases of software development from architecture/design through implementation, testing, code reviews and on-call.

  • Work closely with the Experimentation Data Science team to implement sophisticated statistical methodology into the platform.

  • Drive “Experimentation Culture” at Twitter. Be a part of leveling up experimentation and causal inference culture at Twitter.

Qualifications

What it takes: 

  • 10+ years in a hands-on engineering role, writing and shipping high quality production code, especially highly reliable and scalable distributed systems.

  • Experience with experimentation and causal inference at scale, either through direct work on or as a power user of an internet scale experimentation platform.

  • You have a track record of multiplying the impact and effectiveness of your team beyond your own individual efforts.

  • Experience with at least one of the following languages: Scala, Java, and/or any JVM based language.

  • Experience debugging in a data-heavy environment (e.g. Hadoop, Spark).

  • Able to effectively communicate technical ideas to and collaborate with both technical and non-technical peers.

  • Bonus Points: Experience with stream processing at scale (e.g. Beam/Flink/Storm) OR GCP and related tools.

Company Description

Who we are:

Twitter serves the public conversation by encouraging people all over the world to connect, learn, debate, and solve problems together. We believe conversation can change the world, and that’s why Tweeps (that’s what we call Twitter employees) come to work every day.

The PIE team is responsible for Twitter’s experimentation methodology and implementation as well as visualization and analysis tooling that helps teams understand user behavior. We work with product, engineering, data science, design and executive leadership to help increase our rate and quality of innovation. The team employs a wide variety of open-source technologies including Hadoop, DataFlow, BigQuery, and Beam.  We are a tight-knit and encouraging group that values diversity and loves working together. We want to maintain and increase our diversity so whoever you are and wherever you come from, if you are an outstanding engineer we would be honored if you applied!


Why it matters: The PIE team owns our internal experimentation platform, DDG, which is a vital part of driving rapid innovation at Twitter.  Twitter runs hundreds of experiments every day to understand the causal impact of everything from UI changes to the deployment of new machine learning models, and PIE makes this all possible!

Additional Information

A few things we value:

  • Growth Mindset – Come ready to continuously learn as well as improve our thinking, processes and execution as a team and company.

  • Independent Thinking –  Ability to think creatively and strategically in a dynamic environment tackling mission-critical business challenges. 

  • Collaboration – Being a team player that is proactive, anticipates needs, is assertive, and is highly accountable. 

  • Diversity – Diversity makes us a better organization and team. We value diverse backgrounds, ideas, and experiences.

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, we will consider for employment qualified applicants with arrest and conviction records

Team

Software Engineering, Data Science and Analytics

Location

New York City, Los Angeles, San Francisco, Seattle, Remote US, Boulder

 

Application

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