Apple
AIML - Sr./Staff Machine Learning Engineer, Machine Learning Platform Technologies
Found: January 11, 2026
This role is based in the San Francisco Bay Area, California.
Compensation:
$181,100 - $318,400/year
Responsibilities:
- Tackle web-scale extraction and enrichment challenges, transforming raw web data into structured knowledge.
- Design and optimize pipelines leveraging large language models and advanced NLP.
- Develop infrastructure for large-scale extraction and enrichment pipelines.
- Improve Apple’s foundation models through data insights.
Minimum Qualifications:
- Bachelor’s degree or higher in Computer Science or related field.
- Experience with Golang, Java, or Scala.
- Background in algorithms, data structures, and distributed systems.
- Experience in cloud-native environments like AWS.
- Familiarity with large-scale data processing pipelines (e.g., Spark, Cassandra).
- Experience in micro-service architecture (Docker, Kubernetes).
- Knowledge of machine learning workflows.
Preferred Qualifications:
- Experience with training and fine-tuning large language models.
- Optimizing ML training and serving performance.
- Familiarity with Nvidia TensorRT-LLM and related technologies.
