The vacancy is well-structured with clear responsibilities and requirements, though some company details are missing.
Check Match — Just drop your CV
See your fit for Senior Software Engineer, Machine Learning (Ads) in seconds.
Overview
Join Discord as a Senior Software Engineer specializing in Machine Learning to enhance ad relevance and optimize performance for our Ads initiative. Contribute to foundational ML models that drive revenue in a gaming-focused environment. 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 after playing games.
What You'll Be Doing
- •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.
Why Discord?
- •The US base salary range for this full-time position is $220,000 to $275,000 + equity + benefits.
- •Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.
- •Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.
What You Should Have
- •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.