Senior ML Engineer: Large-Scale AI & Knowledge Graph

Apple Inc.; Seattle (WA); On-site; USD 175,000 - 308,500; Full time

Benefits offered by this job

Medical and dental coverage

Employee stock programs

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. in Seattle, Washington is seeking a Staff / Sr. Machine Learning Engineer for AI, Search & Knowledge Platforms to build and optimize large-scale extraction and enrichment pipelines powering Siri, Spotlight, Safari, and other Apple experiences.

You will work with NLP, LLMs, and knowledge graphs to develop scalable infrastructure for billions of users, implementing data quality, deduplication, and efficient model serving in a cloud-native environment.

Qualifications

• Bachelor’s degree or higher in Computer Science or related technical field.
• 3+ years of experience in software engineering or ML engineering.
• Experience with Golang, Java, Scala, or Python.
• Background in algorithms, data structures, and distributed systems.
• Experience with cloud-native environments such as AWS.
• Experience with large-scale data processing pipelines (Spark, Cassandra, etc.).
• Experience with micro-service architecture in a containerized environment (Docker, Kubernetes).
• Experience with machine learning workflows, including feature engineering, training, evaluation, deployment and serving.

Responsibilities

• Build and optimize large-scale extraction and enrichment pipelines that transform raw web data into structured knowledge powering Siri, Spotlight, Safari, and other Apple experiences.
• Design pipelines that leverage large language models, NLP, and entity linking frameworks to identify, deduplicate, and contextualize information from the open web.
• Optimize extraction infrastructure for cost, throughput, and reliability including model serving and batch ML workloads.
• Develop ML classifiers for data quality, deduplication, and content filtering across billions of records.
• Improve extraction quality to produce high-fidelity training corpora for Apple's foundation models.

Skills

ML engineering

Software engineering

Distributed systems

Algorithms & data structures

Team collaboration

Education

Bachelor’s degree or higher in Computer Science or related technical field

Tools

Golang

Java

Scala

Python

AWS

Spark

Cassandra

Docker

Kubernetes

LLMs/NLP frameworks

Job description

Apple Inc. in Seattle, Washington is seeking a Staff / Sr. Machine Learning Engineer for AI, Search & Knowledge Platforms to build and optimize large-scale extraction and enrichment pipelines powering Siri, Spotlight, Safari, and other Apple experiences.

You will work with NLP, LLMs, and knowledge graphs to develop scalable infrastructure for billions of users, implementing data quality, deduplication, and efficient model serving in a cloud-native environment.