Machine Learning Engineer, Search & Knowledge Quality

The Search and Knowledge Quality team is redefining how hundreds of millions of users interact with their devices to access information. We are an Applied Machine Learning team pushing the boundaries of artificial intelligence—from query understanding and information retrieval to response ranking and contextual answer generation. Our team drives innovation by conducting research, building end-to-end solutions, and deploying them at scale to deliver meaningful customer impact across Apple products. In this role, you will leverage and advance state-of-the-art LLM and ML techniques to better understand user queries and intent, improve document ranking, and generate high-quality answers. You will have end-to-end ownership of features within the Siri Search system, from ideation through production deployment, and collaborate with industry-leading experts and cross-functional teams across multiple geographies to tackle complex challenges at scale. Responsibilities Design, develop, and implement machine learning models and RAG-based agentic solution for NLP and multimodal applications. Integrate and own ML solutions into production systems and existing workflows at scale. Collaborate with data scientists, software & ML engineers, and product managers to define requirements and deliverables. Independently own deliverables and apply problem-solving skills to identify solutions to complex, ambiguous problems and drive cross‑functional solutions with minimal guidance. Preferred Qualifications Ph.D. in a related field. Experience with state‑of‑the‑art ML methodologies, including LLM fine‑tuning, neural network optimization, and reinforcement learning. Strong communication and accountability skills; a hard‑working, strong work ethic, and collaboration abilities. Experimental rigor when training/evaluating LLMs for the purpose of benchmarking LLM optimization algorithms. Minimum Qualifications BSc or Master’s degree in Machine Learning, Data Science, Computer Science, Information Security, Mathematics, Statistics, or a related field. 3+ years of industry‑related experience working in collaborative environments. Programming skills in Python, C/C++, or Go. Experience with ML libraries such as TensorFlow, PyTorch, Hugging Face, AXLearn, and Scikit‑learn. Familiarity with integrating ML solutions into production systems and existing workflows at scale, including CI/CD workflows and ML pipelines. Excellent written and verbal communication skills, with the ability to present technical concepts clearly to varied audiences. Strong problem‑solving skills and ability to work independently as well as in a team environment. Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range that affords you the opportunity to grow and develop in the role. The base pay range for this role is between $139,500 and $258,100, depending on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become shareholders through participation in discretionary stock programs. Employees are eligible for discretionary restricted stock unit awards, can purchase Apple stock at a discount via the Employee Stock Purchase Plan, and may receive discretionary bonuses or commission payments, as well as relocation assistance. Benefits include comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for certain educational expenses—including tuition—related to advancing your career at Apple. Company Apple #J-18808-Ljbffr NLP PEOPLE