Senior Software Engineer (Machine Learning, Ads)

Join Discord as a Senior Software Engineer specializing in Machine Learning. You will be part of the Revenue ML team, focusing on consumer revenue and the emerging Ads initiative. Your role will specifically contribute to Ads ML efforts, helping to build and scale ML capabilities in areas such as ads measurement, targeting, and delivery ranking. You will design, develop, and deploy machine learning models for ads targeting and ranking, collaborate cross-functionally with product, engineering, and business teams, and drive research and implementation of state-of-the-art ML techniques in online advertising.

• Design, develop, and deploy machine learning models for ads targeting and ranking, and build and optimize ad ranking models.
• Collaborate cross-functionally with product, engineering, and business teams to define and execute on the Ads ML roadmap, and scale ML infrastructure.
• Drive research and implementation of state-of-the-art ML techniques in the field of online advertising, and improve ads targeting and ranking.
• 5+ years of experience as a Machine Learning Engineer or Data Scientist
• Experience translating ML evaluation results and performance metrics into actionable product roadmap items
• Experience working with real-time ML inference, A/B testing, and optimization frameworks
• Strong proficiency in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow
• 3+ years of experience specifically in Ads ML (ads ranking, personalization, optimization, privacy-compliant user modeling, targeting, or measurement)
• Experience with applied deep learning (e.g transformers, embedding models)
• Ability to connect business objectives to ML solutions, with the flexibility to shift focus toward the highest-impact problems as priorities evolve
• Proven track record of designing, implementing, and scaling ML-driven ad systems in real-world applications
• Strong understanding of performance advertising and how ML impacts revenue and advertiser retention
• Knowledge of ad tech industry standards and ads ecosystem including targeting, retrieval, ranking, pacing, frequency, auction, etc
• Experience with large-scale recommendation systems
• Experience with large-scale data infrastructure and distributed computing