JobsMachine Learning Engineer - Special Projects
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Machine Learning Engineer - Special Projects

Apple

Location

Santa Clara, CA, 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

We are seeking research engineers to develop infrastructure for innovative AI agents, reinforcement learning, and simulation environments. The role involves designing and implementing high-quality data pipelines and simulation systems that support advanced agent research. You will collaborate with a team of world-class machine learning researchers and engineers, contributing to technologies that impact millions. Our work is recognized in leading scientific journals and conferences, emphasizing our commitment to excellence and innovation.

Requirements

  • 5+ years of ML engineering experience building and maintaining data-intensive systems.
  • Solid software engineering skills in complex systems with fluency in Python.
  • Hands-on experience with distributed ML systems including CI/CD at scale.
  • Strong quantitative and data skills, comfortable with SQL and statistical reasoning.
  • Proven track record of shipping ML systems end-to-end.
  • Bachelor's or Master's Degree in Computer Science, Engineering, Math, or Physics.
  • 2+ years at a company building AI products or agent systems.
  • Experience with job orchestration frameworks like Airflow or Prefect.
  • Familiarity with macOS/iOS development ecosystems.
  • Active personal interest in AI agents.

Responsibilities

  • Design and implement high-quality data pipelines and simulation systems.
  • Enable cutting-edge agent research through effective tooling.
  • Collaborate with a team of researchers and engineers to innovate.
  • Contribute to the development of autonomous AI systems.
  • Ensure clean and well-tested code delivery.

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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