Apple · 1 day ago
AIML - Senior Applied Machine Learning Engineer, ML Lifecycle (MLPT)
Apple is building the foundation for intelligent, adaptive AI systems and is seeking a Senior Applied ML Engineer to design, build, and scale machine learning systems. This role involves working at the intersection of machine learning and software engineering to develop foundational components for AI applications.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Design and implement core systems that enable scalable development and deployment of AI applications including agent platforms, RAG frameworks, and adaptive ML services
Build reusable infrastructure for model training, evaluation, and inference emphasizing observability, reproducibility, and modularity
Collaborate cross-functionally with product, infra, and research teams to translate AI concepts into production-ready systems
Develop intelligent tooling for data processing, simulation, and experimentation to accelerate applied AI innovation
Contribute to architectural direction for our broader AI ecosystem designing for flexibility across future projects
Prototype new capabilities using large language models, retrieval systems, and agentic workflows
Partner with infrastructure and product teams to operationalize new AI capabilities
Qualification
Required
7+ years of experience in ML engineering, software engineering or applied AI roles
Solid understanding of machine learning fundamentals, especially around large models, embeddings, and retrieval systems
Proven experience building production-grade ML systems or intelligent data-driven products
Strong background in distributed systems, APIs, and scalable data/compute infrastructure
Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or JAX
Strong communication, documentation, and collaboration skills
Preferred
Experience with LLM-based systems, RAG pipelines, or AI agent frameworks
Familiarity with MLOps tools (e.g., MLflow, Weights & Biases, Ray, Airflow)
Knowledge of evaluation methodologies for generative or agentic AI
Background in simulation systems, reinforcement learning, or continuous learning
Experience with data-centric AI data curation, labeling, and feedback loops
Proven ability to move between research-driven prototyping and production-scale engineering
Enthusiasm for emerging areas like multimodal AI, reasoning agents, and AI safety evaluation
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.
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