JobsAIML - Machine Learning Engineer, MIND
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AIML - Machine Learning Engineer, MIND

Apple

Location

Seattle, WA

Type

Full-time

Posted

5/5/2026

Compensation

Not listed

Undergraduate with 2+ Years of Experience
Approval 98.9%·Filings 5,543·New hires 2,691·
👑 Elite Sponsor
·FY 2025

Job description

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team at Apple, you will contribute to an innovative organization focused on machine learning and computer vision. The role emphasizes shipping ML-based features and products, with a strong focus on the entire end-to-end ML production pipeline. You will be encouraged to experiment and iterate on ideas, making significant contributions to both short-term and long-term projects. The ideal candidate will possess a strong curiosity and a willingness to tackle unfamiliar challenges in a fast-evolving field.

Requirements

  • Proficient in Python and deep learning frameworks like PyTorch.
  • Experience with training ML models including deep learning based models.
  • Able to define metrics, evaluate ML models, and perform error analysis.
  • Familiar with recent advances in deep learning.
  • Bachelor's, Master's, or PhD or equivalent experience in Computer Science or a related field.
  • Experience with modeling vision problems in the areas of object detection, facial recognition, and/or temporal machine learning.
  • Experience with building efficient ML models through HW/SW co-design.
  • Experience crafting and defining datasets and metrics for novel tasks.
  • Experience with shipping ML features and products.
  • Excellent problem-solving and analytical skills.

Responsibilities

  • Develop features and models to improve the capabilities of systems that use machine learning.
  • Scale up model training, build data pipelines, and tune to improve system performance.
  • Review and implement pioneering machine learning algorithms.
  • Build software that improves the rate of experimentation.

Benefits

  • Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.

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