Machine Learning Engineer

Machine Learning Engineer on Apple's Global Sourcing & Supply Management Solutions team, designing GenAI powered features and workflows to optimize the supply chain and enable data-driven decisions.

Responsibilities

• Collaborate with business and product stakeholders to identify high-impact opportunities and convert ambiguous requirements into GenAI driven features and workflows delivered via a shared AI platform and integrated into products.
• Design, build, and own end-to-end GenAI capabilities that support both a centralized platform and product teams, spanning prompts, tools, agent orchestration, retrieval strategies, model selection, and system evaluation.
• Develop reliable, scalable, and cost-aware GenAI features in partnership with platform, data, and application engineering teams, ensuring strong performance, observability, and maintainability in production environments.
• Define evaluation and monitoring strategies for GenAI driven features, emphasizing output quality, correctness, safety, and business relevance through offline benchmarks, automated checks, and human-in-the-loop reviews.
• Develop Text-to-SQL and structured reasoning capabilities enabling natural language interaction with structured data, ensuring accuracy, security, and alignment with business semantics.
• Apply agentic AI patterns such as multi-step reasoning, tool use, planning, memory, and feedback loops to support complex workflows while implementing guardrails for reliable, predictable behavior.
• Communicate trade-offs, system behavior, and limitations clearly to technical and non-technical stakeholders to inform product and business decisions.
• Continually research, prototype, and operationalize emerging GenAI techniques to enhance platform capabilities and accelerate adoption across teams.

Requirements

• Bachelors degree
• PhD or MS in Computer Science, Statistics, Applied Math or a related field
• 3+ years of industry experience

Technologies

• PyTorch
• TensorFlow
• LangChain

Benefits

• Base pay range between $150,400 and $225,300, depending on skills, qualifications, experience, and location
• Eligibility for discretionary employee stock programs, including discretionary restricted stock unit awards
• Ability to purchase Apple stock at a discount through Apple's Employee Stock Purchase Plan
• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses including tuition
• Possible discretionary bonuses or commission payments and relocation