Staff Software Engineer, Experimentation Platform
Job Summary
The role involves leading the strategy and technical development of Pinterest's large-scale Experimentation Platform supporting extensive data and experiments. The engineer will build and enhance frameworks focused on ML model performance, working with cutting-edge technologies like A/B testing, ML/AI, and multi-arm bandit algorithms. Candidates should have significant experience with big data tools, programming skills in Java, Scala, or Python, and a background in experimentation or ML infrastructure. The position offers flexible in-office collaboration, equity benefits, and a focus on fostering an equitable and inclusive work environment.
Required Skills
Benefits
Job Description
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
Intro
We’re looking for a Staff Software Engineer to help us to build and lead the next Generation large scale Experimentation Platform boosting ML/AI at Pinterest. You’ll be working on some of the cutting edge technology like AB testing, Interleaving, Machine Learning, Big data etc. At the scale of hundreds of petabytes of data to help Pinners discover and do what they love.
What you’ll do
- Lead the strategy and technical direction of Pinterest’s Online Experimentation Platform that handles 100+ PBs of data, supporting 10000+ running experiments at Pinterest
- You will be building a large scale new experimentation framework focusing on ML model performance as an extension to the existing AB testing framework at Pinterest
- You will be working with cross functional partners to identify opportunities, bring new industrial ML experimentation technology like ML/AI, multi arm-bandit, interleaving etc
- Coach and mentor team members
What we’re looking for:
- 8+years of industry experience with a proven track record of technical excellence
- 2+ years of experience building and supporting large scale Experimentation/ML Platform or similar Data intensive Platforms.
- Extensive experience with big data technologies such as Spark, Spark SQL, Flink, Airflow.
- Proven skills in designing and maintaining scalable data processing framework.
- Proficiency in programming languages like Java, Scala, or Python.
- Strong problem-solving abilities and a drive for innovation.
- Excellent communication skills and the ability to collaborate across teams.
- Experience with at least one of the domains in A/B testing, Machine Learning infra, Machine Learning, statistics
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion:
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