JobsSenior Machine Learning Engineer (Search)
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Senior Machine Learning Engineer (Search)

Apple

Location

San Francisco Bay Area, CA

Type

Full-time

Posted

5/5/2026

Compensation

Not listed

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

Job description

The Machine Learning Engineer will play a crucial role in advancing Apple Maps by leveraging machine learning and generative AI to enhance search quality. The team focuses on improving user experiences through innovative techniques in local search, including query understanding and intent modeling. This position offers the opportunity to collaborate with various teams and mentor aspiring engineers. The ultimate goal is to build a world-class search team that delivers exceptional search experiences to users.

Requirements

  • MS or Ph.D. in computer science or equivalent field with 7+ years of industry experience.
  • Proven record in delivering end-user facing machine learning driven products.
  • Strong programming experience in one or more of the following: Java, C++, Python.
  • Knowledge and experience with TensorFlow, PyTorch, or JAX frameworks.
  • Excellent interpersonal and communication skills.
  • Attention to detail, data accuracy, and quality of output.
  • Expertise in various facets of machine learning and natural language processing.
  • Practical understanding of the mathematics behind modern machine learning.
  • Good knowledge of big data processing, with prior experience in Hadoop, Spark, or Hive.
  • Proven expertise in applying generative AI and large language models to search or NLP tasks.
  • Prior experience in consumer facing products is desired.
  • Prior team lead experience is desired.

Responsibilities

  • Develop and optimize machine learning algorithms for local search issues.
  • Design and develop tools, processes, and analytics for backend data-extraction pipelines.
  • Perform hands-on analyses to answer complex hypotheses and questions.
  • Collaborate with various teams to develop exciting features for Apple Maps.
  • Mentor aspiring applied scientists and engineers to expand their skills and impact.

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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