Discord

Overview

We are looking for a Senior Software Engineer specializing in Machine Learning to join our Revenue ML team at Discord. This team partners with our revenue product groups, focusing on both consumer revenue and our emerging Ads initiative. This role will specifically contribute to our Ads ML efforts, helping to build and scale ML capabilities in areas such as ads measurement, targeting, and delivery ranking.

About Discord

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and a

Requirements & Eligibility

• 5+ years of experience as a Machine Learning Engineer or Data Scientist
• 3+ years of experience specifically in Ads ML (ads ranking, personalization, optimization, privacy-compliant user modeling, targeting, or measurement)
• Strong proficiency in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow
• Experience with applied deep learning (e.g transformers, embedding models)
• 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
• Experience translating ML evaluation results and performance metrics into actionable product roadmap items
• Ability to connect business objectives to ML solutions, with the flexibility to shift focus toward the highest-impact problems as priorities evolve

Key Responsibilities

• Design, develop, and deploy machine learning models for ads targeting and ranking
• Develop sophisticated ML solutions such as identity graph to enhance ad targeting
• Build and optimize ad ranking models to serve the most effective ads based on campaign objectives (e.g., app installs, link click)
• Improve ads targeting and ranking by leveraging both on-platform and off-platform signals
• 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