Machine Learning Engineer III - Recommendation Systems
Core
Design, build, and deploy large-scale recommendation systems and agentic AI for personalized lock screen and live entertainment experiences.
Role type
Senior IC machine learning engineer (recommendation systems & agentic AI)
Builds
Personalized lock screen and live entertainment experiences
Domain
Consumer technology, mobile apps, recommendation systems
Deliverable
production ML models
Required skills
large-scale recommendation systems, ranking algorithms, deep learning, NLP, sequence modelling, reinforcement learning, time series, big data processing, cloud computing, LLMs, generative models, agentic AI workflows, Python, statistical tools
Preferred skills
PhD, experience with privacy-preserving ML, identity-less ecosystems
Technologies
Spark, Hadoop, Azure, AWS, GCP/Vertex AI, PyTorch, TensorFlow, R, NumPy, SciPy
Responsibilities
Design and develop large-scale recommendation systems using advanced ML and deep learning; Build and operate machine learning models on diverse, high-volume data sources; Develop rapid experimentation workflows to validate hypotheses; Own data preparation, model training, evaluation, and deployment pipelines; Monitor ML model performance using statistical techniques
Seniority
Senior, hands-on IC