AIML- Machine Learning Engineer, Machine Learning Platform Technologies jobs in United States
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Apple · 14 hours ago

AIML- Machine Learning Engineer, Machine Learning Platform Technologies

Apple is a leading technology company known for its innovative products and services. The Information Intelligence Infrastructure team is seeking a Machine Learning Engineer to build scalable data mining systems and collaborate with researchers to enhance Apple’s foundation models and search technologies.

AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Design scalable data mining + information extraction systems over trillions of records to produce training corpora and high-signal subsets
Build data quality loops - automatic filtering, algorithmic selection, and apply strategies tied to model evaluation outcomes
Partner with Foundation model research to curate datasets for new architectures; ship production solutions powering real products
Design, build, and operate large-scale distributed services that power Apple’s search and foundation model platforms
Build and evolve petabyte-scale data pipelines and feature pipelines and serve models
Define and uphold SLAs for critical services & pipelines , driving reliability, performance, and capacity planning for billions of daily requests
Collaborate with cross-functional partners (research, engineering, program management, privacy, security) to design solutions that meet user, business, and regulatory requirements
Improve the overall engineering quality bar through technical reviews, mentoring, documentation, and best practices in testing and observability

Qualification

Machine LearningData ProcessingPythonML FrameworksCloud TechnologiesMLOpsData CurationCollaboration SkillsCommunication Skills

Required

PhD or MS in ML/CS or related with 10+ years of experience
Strong ML/DL development + evaluation experience; strong coding in Python/Scala/Java; large-scale data processing
Proficiency in at least one modern programming language Python, Go, or Scala, with a focus on writing robust, maintainable code
Proficiency in at least one popular ML framework such as PyTorch, TensorFlow, JAX and an understanding of how ML/AI systems are deployed in production
Familiarity with cloud - Kubernetes, GCP, AWS, Object stores
Excellent collaboration and communication skills; able to work independently and cross-functionally with research, product, and operations teams

Preferred

Experience with training-data curation, synthetic data strategies, or evaluation dataset filtering / subset selection
MLOps from research prototype → production
Familiarity with large-model serving/optimization stacks (TensorRT-LLM, vLLM, Triton)
Experience with data-intensive systems (e.g., large-scale data pipelines, feature generation, Dataflow, Spark, Airflow, Dataflow)

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 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 Company
Total Funding
$5.67B
Key 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

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Tim Cook
CEO
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Craig Federighi
SVP, Software Engineering
Company data provided by crunchbase