Software Engineer, Machine Learning

About this role

AppLovin seeks a Software Engineer with machine learning expertise to develop large-scale user signals, representation learning, and recommendation systems for their advertising platform serving over 1 billion users. You'll work across the full ML stack—from feature engineering to production deployment—optimizing ranking and retrieval models to improve ad relevance and performance.

What you'll do

• Develop and enhance user signals, features, and representations for large-scale ML models in advertising and recommendation systems
• Explore ML approaches to effectively learn from sparse, noisy, and heterogeneous user signals at scale
• Design and implement ranking, retrieval, and prediction systems that incorporate user signals and representations
• Build scalable tools for feature evaluation, model training, experimentation, deployment, and monitoring
• Identify and resolve ML challenges spanning signal quality, model quality, training stability, and serving performance
• Design offline and online experiments to measure incremental value of signals and model improvements on business outcomes

What they're looking for

• Machine learning fundamentals (model architectures, optimization, representation learning, feature engineering)
• Deep learning frameworks (PyTorch or TensorFlow)
• Recommendation systems and ranking algorithms
• Large-scale data processing and distributed systems
• Production ML deployment and monitoring
• Experimentation and A/B testing
• Python or Java programming
• Feature engineering and data quality assessment