Senior Machine Learning Engineer, Measurement Modeling

Position Overview

• Location Type: Not specified
• Employment Type: Not specified
• Salary: Not specified

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

The Ads Measurement team is dedicated to evaluating and improving advertising effectiveness to drive advertiser success. This team is responsible for developing measurement products and infrastructure to enable advertisers to understand the value that Reddit drives for their business.

As a Machine Learning Engineer, Causal Inference on the Ads Measurement team, you will lead our Reddit Conversion Lift (RCL) product, driving major improvements in Causal Inference/ML methodology, reliability and scalability.

Responsibilities

• Lead projects from concept, design, implementation, to rollout, ensuring the highest quality and performance.
• Identify opportunities to enhance ad measurement capabilities by diving deep into our platform and understanding the needs of our advertisers.
• Design, implement, and maintain high-reliability experimentation systems.
• Conduct code reviews, maintain high engineering standards, and build scalable systems.
• Design and develop statistical and applied machine learning models to measure ad effectiveness.
• Collaborate with cross-functional stakeholders, including ads product, product marketing, measurement engineering, data science and Marketing Science.
• Mentor junior team members, share knowledge, and contribute to the technical growth of the team. Provide guidance on causal inference and machine learning best practices and methodologies.
• Stay up-to-date on state-of-the-art causal inference, causal ML, and machine learning techniques; recognize promising innovations; and, adapting them to Reddit’s unique platform and community.

Minimum Qualifications

• 5+ years of experience in a relevant industry or academic background, preferably in a quantitative/modeling or highly scalable computing environment. For candidates with a PhD, at least 2+ years of industry experience in a MLE or engineering role.
• Experience deploying models in production settings and working with ML or experimentation infrastructure.
• Strong understanding of advertising domain.
• Strong understanding of causal inference and experimental design, including intent-to-treat estimators, ghost ads, and propensity score modeling.
• Ability to lead and mentor machine learning engineers, software engineers, and/or data scientists.
• Strong communication skills to collaborate effectively with cross-functional teams and stakeholders.
• Demonstrated ability to innovate and stay updated with the latest advancements in causal inference, machine learning and AI.

Preferred Qualifications

• Not specified