Machine Learning Researcher - Apple Music - Recommender Systems

Requirements

• Track record of leading ML recommender system projects from research through to production at scale
• Peer-reviewed publications at venues such as RecSys, SIGIR, KDD, ISMIR, NeurIPS, ICLR, ICML or related
• Expertise in modern recommender methods (e.g. multi-interest, neural ranking, RL, sequential, generative)
• Solid experience with Python ML toolkits such as TensorFlow or PyTorch
• Excellent communication and presentation skills
• A PhD/MSc in computer science, statistics, applied mathematics or related field, or equivalent education/experience

Nice to Haves

• Familiarity with LLM methods applied to recommendation
• Experience with counterfactual evaluation
• Experience with Spark SQL
• Love of music

What You'll Be Doing

• Researching AI/ML models for recommendation
• Training and fine-tuning models on huge GPU grids and massive quantities of data
• Helping deploy models into large-scale, low-latency services
• Running experiments, translating results into product decisions, and publishing findings

Perks and Benefits

• Joining a team focused on helping Apple Music users discover music they love
• Being part of a diverse, open-minded environment with team members from 10 countries
• Working alongside top researchers and engineers in the field
• Opportunity for innovation that enriches users' lives