Apple · 14 hours ago
Machine Learning Engineer
Cupertino, CA
Full-time
Onsite
Senior Level
$181K/yr - $272K/yr
5+ years expApple is a leading technology company known for its innovative products and services. They are seeking a Machine Learning Engineer to join their Global Sourcing & Supply Management Solutions team, where the role involves designing and building GenAI-powered features and workflows to enhance the supply chain through AI/ML solutions.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
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
Qualification
Required
Bachelors degree
PhD/MS in Computer Science, Statistics, Applied Math or a related field
5+ years of industry experience
Preferred
Strong problem-solving skills and the ability to tackle ambiguous, real-world challenges, along with clear communication and collaboration skills
Experience with modern deep learning frameworks, such as PyTorch or TensorFlow
Hands-on experience working with transformer-based models, including large language models (e.g., GPT style models or BERT-like architectures)
Practical experience leveraging LLMs or GenAI models via APIs to create reliable and user-facing features or workflows
Familiarity with common GenAI tools and frameworks, such as LangChain or similar, with the ability to learn and adapt as the ecosystem evolves
Solid understanding of foundational ML concepts including supervised, unsupervised and reinforcement learning
Solid understanding of core machine learning concepts, including supervised and unsupervised learning; exposure to reinforcement learning is a plus
Experience with model deployment pipelines and serving GenAI models in production
Experience applying modern ML or GenAI techniques in production workflows, including tasks such as Retrieval-Augmented Generation (RAG), structured reasoning, or prompt-based system design
Experience working in Supply Chain, Operations, or a related field
Ability to operate independently and lead without authority
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase