San Diego, California, United States Description Product Operations partners with various engineering and operations teams, leading the development of machine learning solutions. We deliver projects from end-to-end, including problem statement, proof-of-concept, and deployment. You will perform ad-hoc statistical analyses and work closely with data engineers to generate detailed business intelligence solutions. You will also conduct presentations of analyses to a wide range of audiences, including executives. Minimum Qualifications 3+ years experience in machine learning algorithms, software engineering, and data mining models, with emphasis on large language models (LLM) or large multimodal models (LMM). Master's degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering, or related fields. Preferred Qualifications Experience in LLM and LMM development, fine-tuning, and application building. Experience with agents and agentic workflows is a plus. Knowledge of modern LLM serving and inference frameworks, including vLLM. Hands-on experience with LangChain and LlamaIndex for RAG applications and LLM orchestration. Strong Python skills and proficiency with ML and data science libraries like PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn. Familiarity with distributed computing, cloud infrastructure, and orchestration tools such as Kubernetes, Apache Airflow, Docker, Conductor, and Ray. Deep understanding of transformer architectures (e.g., BERT, GPT, LLaMA) and their optimization for low-latency inference. Ability to present complex ML/LLM concepts clearly to non-technical audiences. Experience applying ML techniques in manufacturing, testing, or hardware optimization is a plus. Leadership and mentoring experience is a plus. At Apple, the base pay range for this role is $171,600 to $258,100, depending on skills, qualifications, experience, and location. Apple offers comprehensive benefits, including medical and dental coverage, retirement plans, stock programs, educational reimbursement, bonuses, and relocation assistance. Note: Benefits are subject to eligibility and plan terms. Apple is an equal opportunity employer committed to diversity and inclusion. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Learn more about your EEO rights.

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