Senior ML Engineer, Next-Gen Search & Knowledge

Apple Inc.

Santa Clara, Northern (CA, KY)

Hybrid

USD 185,000 - 325,000

Full time

13 days ago
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Benefits offered by this job

Stock programs
Relocation support
Education reimbursement
Medical & dental coverage
Discounted products

Job summary

Apple Inc. in Santa Clara, California seeks an experienced Senior/Staff Machine Learning Engineer to advance search and QA experiences across Apple products. You will design, train, and deploy models powering ranking, retrieval, and knowledge platforms.

Work with product, data science, and infrastructure teams to scale ML systems on vast datasets, influence product direction, and contribute to next-generation search technologies including large language models.

Qualifications

  • Bachelor’s in Computer Science, Machine Learning, or a related field
  • 7+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems
  • Strong programming skills in C/C++ or Python, and experience with ML frameworks
  • Proficient understanding of search algorithms and familiarity with evaluation metrics for search and information retrieval
  • Excellent communication and collaboration skills

Responsibilities

  • Analyze search retrieval, ranking and relevance requirements, issues and opportunities
  • Design, train, and deploy machine learning models to improve search relevance and ranking
  • Define evaluation metrics and benchmarks for search quality
  • Collaborate with multi-functional teams including: product, design, and data engineering
  • Find opportunity and partner with various product teams across the company to apply search technology to new product areas and use cases

Skills

C/C++
Python
ML frameworks
Search algorithms
Communication
Collaboration

Education

Bachelor’s in Computer Science or ML
Advanced degree in CS/ML

Tools

Jax
TensorFlow
PyTorch

Job description

Apple Inc. in Santa Clara, California seeks an experienced Senior/Staff Machine Learning Engineer to advance search and QA experiences across Apple products. You will design, train, and deploy models powering ranking, retrieval, and knowledge platforms.

Work with product, data science, and infrastructure teams to scale ML systems on vast datasets, influence product direction, and contribute to next-generation search technologies including large language models.

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