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Senior AI/ML Engineer, Retail and Marcom Engineering

Apple· Information Systems and Technology (IS&T) - Retail and Marcom Engineering
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Sunnyvale, CA, Hybrid (Austin, TX)$150.4k - $277.6kfull-timePosted 3d ago

About the role

Senior AI/ML Engineer to design, build, and deploy intelligent AI/ML solutions for Apple’s Retail and Marcom experiences. Lead end-to-end ML lifecycle, leverage GenAI, LLMs, Graph RAG, and multi-modal models, and implement AIOps to optimize production systems at global scale.

Responsibilities

  • AI-Powered Solutions: Drive the complete machine learning project lifecycle, ensuring best practices and flawless software delivery.
  • Intelligent Assistants: Lead the design and development of virtual assistants using Conversational AI platforms, creating impactful and intuitive experiences.
  • Data-Driven Insights: Collaborate with business stakeholders to identify AI/ML opportunities and develop advanced analytic solutions leveraging LLM technologies, transforming data into actionable strategies.

Qualifications

  • 5 years of hands-on experience implementing AI/ML models in enterprise systems.
  • Knowledge of core AI/ML concepts, including supervised and unsupervised learning, deep learning, and anomaly detection.
  • Expertise in NLP, NLU, and Conversational AI, including designing and deploying bots with intent recognition, dialogue management, and natural language generation.
  • Experience taking GenAI solutions (LLMs and RAG) into production, with a solid understanding of LLM architectures.
  • Mastery of Python and key AI/ML libraries and frameworks (Pandas, NumPy, TensorFlow, PyTorch).
  • Ability to integrate AI and bot systems with backend systems, databases, and APIs to deliver end-to-end solutions.
  • Troubleshooting and analytical skills, including diagnosing complex issues in distributed environments.
  • BS or MS in Engineering, Computer Science, or a related field, or equivalent practical experience.
  • Hands-on experience building and deploying Graph RAG pipelines, including graph databases and vector stores.
  • Knowledge of DevOps practices, including CI/CD pipelines, infrastructure as code (e.g., Terraform), containerization (Docker), and Git-based workflows for automated build, test, and deployment of ML services.
  • Knowledge of SRE principles, including defining SLIs/SLOs, monitoring and alerting, incident response, root cause analysis, and building for reliability in production systems.
  • Familiarity with RAG benchmarking and evaluation methodologies (e.g., faithfulness, context recall, LLM-as-judge, golden datasets).
  • Experience fine-tuning LLMs (e.g., LoRA, PEFT) and knowing when to choose fine-tuning over prompting or RAG.
  • Experience building solutions with multi-modal models and agentic workflows (tool use, orchestration, failure handling).
  • Experience designing, building, and deploying AI/ML platforms and services at scale, handling high data volumes and traffic.
  • LLMOps experience, including production evaluation, guardrails, observability, and cost and latency optimization.
  • Experience building AIOps solutions such as clustering, classification, anomaly detection, and capacity prediction.
  • Familiarity with cloud-native and GPU-backed inference environments (e.g., Kubernetes, model serving).
  • Track record of mentoring engineers, defining reference architectures, and setting best practices for LLM, RAG, and conversational AI.
  • Experience applying GenAI to content, creative, or marketing workflows.
  • Communication and collaboration skills, with the ability to explain technical concepts to technical and non-technical audiences.

Skills

Required:AI/ML lifecycle managementGenAI / LLM deploymentNLP/NLU/Conversational AIGraph RAG / graph databasesPython & AI libraries

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses (tuition)
  • discretionary bonuses or commission payments and relocation eligibility
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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