Apple
ML Data & Eval Engineer, Siri Agent Modeling
$150K–$278K
Cupertino, California · Full-time · Posted Oct 15, 2026
- Experience
- 4+ years of industry experience building production data or ML infrastructure (preferred).
- Education
- Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent industry experience (preferred).
About the job
Build and operate end-to-end data, evaluation, and infrastructure systems for training, evaluating, and deploying on-device Siri models.
What you'll do
- Build scalable data pipelines and data-quality, lineage, and governance tools for LLMs and agents.
- Develop large-scale evaluation systems, including sandboxed testing for tool use and multi-step tasks.
- Build model-to-device pipelines for conversion, compression, quantization, benchmarking, and regression tracking on Apple silicon.
What they ask for
- Strong computer science background in algorithms, data structures, and distributed systems design.
- Strong proficiency in Python, with hands-on Docker, Kubernetes, and cloud infrastructure experience.
- Experience building large-scale data processing pipelines or distributed ML infrastructure.
- Familiarity with the ML model lifecycle and PyTorch or JAX; experience building, deploying, and debugging production services and data products end to end; experience with agentic AI-assisted coding.
Nice to have
- Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent industry experience.
- Experience with LLM data pipelines, workflow orchestrators, on-device model optimization, data quality and privacy practices, or cross-team projects.
Pay
$150,400 and $277,600 USD base salary
Tools
Python, Docker, Kubernetes, Spark, Ray, PyTorch, JAX, Core ML
AI focus
Build data and evaluation systems for LLMs and agentic models, and infrastructure to train, optimize, and deploy models on-device.
Model-written summary · the original posting is authoritative