Discord
Senior Software Engineer, Machine Learning (Ads)
San Francisco Bay Area · Senior · Full-time
Sponsorship not specified$220k-$275kDetected 6 hours ago
PythonMachine LearningDeep LearningTensorFlowPyTorchNLPA/B TestingProduct ManagementProduct StrategyResearch
About the role
- Our tech stack includes Python, ML frameworks like PyTorch and TensorFlow, large-scale data infrastructure, and real-time ad-serving technologies.
- 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.
Responsibilities
- 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).
- 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
- 3+ years of experience specifically in Ads ML (ads ranking, personalization, optimization, privacy-compliant user modeling, targeting, or measurement).
- 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.
Skills
- 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
- The US base salary range for this full-time position is $220,000 to $275,000 + equity + benefits.
- Why Discord?
- Your future is just a click away!
Compensation
- 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.
- Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.
Benefits
- Design, develop, and deploy machine learning models for ads targeting and ranking.
- 5+ years of experience as a Machine Learning Engineer or Data Scientist.
- 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).
Company info
- We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses.
- Join us in our mission!
Apply directly at Discord →Create a free account for alerts like thisView Discord immigration profile
This listing is sourced directly from Discord's careers page and normalized into a canonical job model.