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Machine Learning Research Engineer (Human Sensing), SIML - ISE

Apple
Seattle, WA Full-time 12/10/2025
PhD Entry-Level

Job Description

The System Intelligence Machine Learning (SIML) organization is seeking Research Engineers with expertise in Machine Learning and Computer Vision to develop advanced multi-modal Human Sensing technologies. The role involves designing AI/ML models for identity recognition and enhancing user experiences across Apple platforms.

Requirements

  • Master's or Ph.D. in Computer Science, Computer Engineering, or related fields; or equivalent professional experience in ML research and development.
  • Proficient in Python, PyTorch or equivalent deep learning frameworks.
  • Expert-level knowledge of state-of-the-art methods in face recognition or other facial analysis and biometric systems.
  • Hands-on experience training multi-modal large language models.
  • Experience with on-device ML, model optimization, or production ML systems.
  • Proven track record of designing and implementing solutions using modern ML architectures.
  • Background in research and innovation, demonstrated through publications in top-tier journals or conferences, patents, or impactful software developments.

Responsibilities

  • Designing, implementing, and deploying state-of-the-art visual recognition systems.
  • Building foundation models for facial and full-body perception.
  • Driving data quality excellence through strategic dataset curation, validation, and generation to support world-class model development.
  • Building tools and frameworks for systematic failure analysis, identifying edge cases, and driving continuous model improvement.
  • Directly interacting with all cross-functional stakeholders to gather product requirements and translating these into actionable plans for ML research and development.
  • Effectively communicating results and insights to partners and senior leaders, providing clear and actionable recommendations.
  • Staying current with the latest trends, technologies, and standard methodologies in machine learning, multi-modal foundation models, computer vision and natural language understanding.
  • Actively contributing to Apple's ML community by disseminating research ideas and results, enhancing shared infrastructure, and mentoring fellow practitioners.

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.