Senior Software Engineer, Machine Learning (Ads) - Remote

Overview

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.

In Short

• Design, develop, and deploy machine learning models for ads measurement, targeting, and ranking.
• Improve our ads measurement framework by integrating first-party and third-party data to provide accurate campaign performance insights.
• Develop sophisticated ML models to infer user interests, enhance ad targeting.
• Build and optimize ad ranking models to serve the most effective ads based on campaign objectives (e.g., app installs, impression delivery).
• Collaborate cross-functionally with product, engineering, and business teams to define and execute on the Ads ML roadmap.
• Scale our ML infrastructure to support an increasing number of concurrent ad campaigns while ensuring low-latency decision-making.
• Drive research and implementation of state-of-the-art ML techniques in the field of online advertising.

Requirements

• 5+ years of experience as a Machine Learning Engineer or Data Scientist.
• 3+ years of experience specifically in Ads ML (ads ranking, personalization, optimization, user profiling, targeting, or measurement).
• Strong proficiency in Python and experience building ML models for large-scale applications.
• Proven track record of designing, implementing, and scaling ML-driven ad systems in real-world applications.
• Experience working with real-time ML inference, A/B testing, and optimization frameworks.
• Strong understanding of performance advertising and how ML impacts revenue and advertiser retention.
• The ability to thrive in a fast-moving, ambiguous environment and build systems from the ground up.

Benefits

• Experience with large-scale data infrastructure and distributed computing.
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of ad tech industry standards and third-party measurement solutions.