Senior Search Engineer - Services Special Projects

Role Number: 200685003Team: Software and ServicesLocation: CupertinoWeekly Hours: 40Posted: 2026-10-27SummaryOur team is building a massive, real-time search experience from the ground up — one that will reach users at Apple scale. It's search at the intersection of Generative AI and Information Retrieval, and it's a rare opportunity to shape a product that millions will rely on.We are seeking a highly experienced and innovative Search Systems Engineer to help design, develop, and optimize large-scale search systems.DescriptionThis role is ideal for a technically deep individual who has a strong product sense and enjoys solving real-world problems using modern AI models and scalable systems. We are a passionate team of hardworking engineers and scientists, and we are looking for a strong Search engineer to join us. You will work closely with AI/ML Scientists and engineers at the intersection of Generative AI and Information Retrieval, crafting intelligent systems that personalize user experiences.Minimum QualificationsBachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related field10+ years of experience in Machine Learning, Data Science, or Software Engineering roles with a significant focus on search infrastructure and information retrieval.Hands on experience building and deploying large-scale search systems in production.Deep understanding of information retrieval, query understanding, query augmentation and multi-stage ranking algorithmsStrong foundation in deep learning architectures for search and retrieval (e.g., transformers, cross encoder models, graph neural networks, learned sparse representations).Experience with to multi-objective optimization in search systems (e.g., relevance, diversity, freshness, fairness).Experience with real-time systems, user feedback loops, and model retraining pipelines.Strong proficiency in Go, Java, C++ and PythonProven experience with ML frameworks including PyTorch, XGBoost.Familiarity with cloud environments (including AWS) and containerization (Docker, Kubernetes)Extensive experience working with data processing pipelines including Spark, FlinkHands-on experience with vector search including FAISSFamiliarity with streaming platforms including Apache KafkaExperience with search infrastructure including OpenSearch, and/or ElasticsearchHands-on experience deploying, serving, and optimizing LLMs, Embeddings and ML models directly in the production query/request pathPast successful deployments with tuning of models (including quantization) for performance and quality optimizationExcellent communication skills and a collaborative mindsetPreferred QualificationsMaster's Degree; PhD PreferredPublished work or patents in the domain of search systems, information retrieval, or related ML fields.Experience with graph databases such as TigerGraphExperience with data and model versioning tools and practices (e.g., DVC, MLflow, Weights & Biases)Deep Experience with KV Stores including SSTables and CassandraExperience with tuning KV-cache and batching for low-latency, high-throughput real-time inference.Deep production level experience with inference runtimes/compilers (ONNX Runtime, TensorRT/TensorRT-LLM), and serving frameworks (vLLM, SGLang or Triton, TorchServe ) .Pay & BenefitsAt Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple BenefitsNote: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.EEO StatementApple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicantAccessibilityAt Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.Learn about accessibility in Apple’s workplaceLearn about reasonable accommodations for job applicantsApplication DeadlineApple accepts applications to this posting on an ongoing basis.