AppLovin seeks a mid-level Software Engineer with 4+ years experience in machine learning to develop and improve user signals, features, and representations for large-scale advertising and recommendation systems. Responsibilities include working on ranking, retrieval, prediction, and optimization models, scaling ML systems, improving training and inference efficiency, and collaborating with cross-functional teams. Required skills include strong ML fundamentals, experience with large-scale datasets, deep learning frameworks such as PyTorch or TensorFlow, and software engineering skills for production systems. Benefits include equity eligibility, medical, dental, vision, life, disability insurance, 401(k), unlimited discretionary time off, paid holidays, and sick leave. Location is Palo Alto, California.
What you'll do
Develop and improve user signals, features, and representations used by large-scale machine learning models for advertising and recommendation
Explore machine learning approaches to learn effectively from large-scale, sparse, noisy, and heterogeneous user signals
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Requirements
Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, or related technical field, or equivalent practical experience
4+ years of experience developing and deploying machine learning systems in production environments
Experience with machine learning or deep learning in recommendation, ranking, retrieval, prediction, advertising, representation learning, or related applications
Experience developing and training machine learning models using large-scale datasets
Strong understanding of machine learning fundamentals including model architectures, optimization, representation learning, feature engineering, and model evaluation
Strong programming and software engineering skills with experience building reliable production systems
Experience with modern deep learning frameworks such as PyTorch or TensorFlow
Experience diagnosing and solving problems involving data and feature quality, model quality, training, or serving performance
Tech stack
machine learningdeep learningPyTorchTensorFlowdistributed model trainingGPU optimization
Benefits
Equity eligibleMedical insuranceDental insuranceVision insuranceLife insuranceDisability insurance401(k) Retirement PlanUnlimited Discretionary Time Off10 paid holidays per year80 hours paid sick leave per year
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