Senior ML Engineer: Next-Gen Search & Knowledge Platforms

Apple Inc.; Santa Clara (CA); On-site; USD 185,000 - 325,000; Full time

Benefits offered by this job

Health insurance

Stock programs

Relocation assistance

Employee Stock Purchase Plan

Tuition reimbursement

Job summary

Apple Inc. in Santa Clara, California is seeking a Senior/Staff Machine Learning Engineer to advance search and knowledge platforms across Apple products.

You will work on large-scale retrieval, ranking, and QA for Siri, Spotlight, Safari, and more, collaborating with product, data science, and infrastructure teams. The role emphasizes deep ML expertise, scalable software engineering, and the ability to translate research into production.

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.

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 product, design, and data engineering teams.
• 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

Education

Bachelor's in Computer Science, Machine Learning, or related field

Tools

TensorFlow

PyTorch

Jax

Job description

Apple Inc. in Santa Clara, California is seeking a Senior/Staff Machine Learning Engineer to advance search and knowledge platforms across Apple products.

You will work on large-scale retrieval, ranking, and QA for Siri, Spotlight, Safari, and more, collaborating with product, data science, and infrastructure teams. The role emphasizes deep ML expertise, scalable software engineering, and the ability to translate research into production.