Machine Learning Engineer

Location: Cupertino, CA (onsite). Salary: USD 150,400 - 225,300 per year.

Responsibilities

• Partner with business and product teams to identify high-impact opportunities and translate ambiguous requirements into GenAI-powered features and workflows delivered through a shared AI platform and embedded across products
• Design, build, and own end-to-end GenAI capabilities that support both a centralized AI platform and product teams, covering all aspects from prompt and tool design to agent orchestration, retrieval strategies, model selection, and system evaluation
• Develop reliable, scalable, and cost-aware GenAI features in collaboration with platform, data, and application engineering teams, ensuring strong performance, observability, and maintainability in production environments
• Establish evaluation and monitoring strategies for GenAI-driven features, focusing on output quality, correctness, safety, and business relevance through offline benchmarks, automated checks, and human-in-the-loop review
• Develop Text-to-SQL and structured reasoning capabilities that enable natural-language interaction with structured data, ensuring accuracy, security, and alignment with business semantics
• Leverage agentic AI patterns (multi-step reasoning, tool use, planning, memory, feedback loops) to support complex workflows, while establishing guardrails for reliable and predictable behavior
• Communicate trade-offs, system behavior, and limitations clearly to technical and non-technical stakeholders, enabling informed product and business decisions
• Continuously research, prototype, and operationalize emerging GenAI techniques to improve platform capabilities and accelerate adoption across teams

Requirements

• Bachelors degree
• PhD/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