AIML- Machine Learning Engineer, Machine Learning Platform Technologies

Overview

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish.

Description

Build the dataset intelligence layer behind Apple-scale foundation models: data mining, information extraction, dataset curation, and evaluation signal that helps models improve faster with less compute. You’ll operate at petabyte/trillion-record scale and partner directly with foundation model researchers to turn model failures into targeted data interventions. form the backbone of Apple’s search and foundation model platforms.

As part of this team, you will own services, pipeline end-to-end—from initial design and architecture, through implementation, deployment, and long-term operation. You’ll collaborate closely with Foundation Model research teams to optimize for cutting-edge model quality improvements.

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.

Minimum Qualifications

• 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, Tensor Flow, 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 Qualifications

• 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 (Tensor

RT-LLM, vLLM, Triton)

• Experience with data-intensive systems (e.g., large-scale data pipelines, feature generation, Dataflow, Spark, Airflow, Dataflow).

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including:
Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note:

Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

Apple accepts applications to this posting on an ongoing basis.

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