ML Data & Eval Engineer, Siri Agent Modeling

Apple Inc

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$277,600 / yr
Posted
11 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $214k
$135k $293k
below market most similar roles pay here above market

This role pays more than 59% of similar roles. Most pay $179,481–$254,750 — the blue band above. At the midpoint, this role pays about $214k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · ML Data & Eval Engineer, Siri Agent Modeling

The ML Data & Eval Engineer, Siri Agent Modeling joins the Siri team to build the next generation of on-device agents. This role involves end-to-end ownership of the data and infrastructure required for frontier on-device machine learning. You will design and build scalable pipelines for curating, filtering, and versioning data for LLMs, including fine-tuning sets and synthetic data. Responsibilities include building evaluation systems for agentic models in sandboxed environments, managing model conversion and quantization for Apple silicon, and developing data quality and privacy governance tools. The role requires proficiency in Python, Docker, Kubernetes, and distributed systems design. You will utilize frameworks like PyTorch or JAX and tools such as Spark, Ray, Airflow, or Kubeflow to solve bottlenecks in the ML lifecycle.

What you'll do

  • Build scalable pipelines for curating, filtering, deduplicating, and versioning data for LLMs and agents.
  • Develop systems to run large evaluation suites for agentic models in sandboxed environments.
  • Create pipelines for model conversion, compression, and quantization for deployment on Apple silicon.
  • Identify and remove bottlenecks in data loading, experiment tracking, and artifact management.
  • Build data quality checks, lineage, and governance tooling to ensure privacy and consistency.
  • Perform on-device benchmarking and regression tracking for candidate models against hardware constraints.
  • Design, implement, and maintain end-to-end production services and data products.

What we're looking for

  • Strong computer science background in algorithms, data structures, and distributed systems design.
  • Strong proficiency in Python with hands-on experience in Docker, Kubernetes, and cloud infrastructure.
  • Experience building large-scale data processing pipelines (e.g. Spark, Ray) or distributed ML infrastructure.
  • Familiarity with the ML model lifecycle and frameworks such as PyTorch or JAX.
  • Experience building, deploying, and debugging production services and data products end to end.
  • Experience with agentic AI-assisted coding.
  • Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent industry experience (preferred).
  • 4+ years of industry experience building production data or ML infrastructure (preferred).

More like this

Similar roles

Senior Machine Learning Engineer

Apple Inc

Cupertino, CA 102 days ago $184,700–$324,800
Machine Learning Deep Learning Large Language Models NLP Python PyTorch TensorFlow CoreML Swift C++ Java Objective-C NLU Data Science A/B Testing Machine Translation Bash Ruby SiriKit
10+ yrs exp