Senior Software Engineer, Discord

• 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

Desirable

• 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
• As part of this team, you will play a critical role in developing foundational ML models that enhance ad relevance, optimize performance, and drive revenue
• This is a unique opportunity to work on an early-stage Ads ML platform and have a direct impact on the business’s success
• Our tech stack includes Python, ML frameworks like TensorFlow and PyTorch, large-scale data infrastructure, and real-time ad-serving technologies
• 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