Siri ML Engineer: On‑Device Speech & Personalization

MaziCTools

United States

Remote

USD 167,000 - 251,000

Full time

2 days ago
Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Stock options
Relocation assistance
Tuition reimbursement

Job summary

Apple in Seattle, WA is seeking an AIML Engineer for the Siri Understanding team to build end-to-end model training and on-device deployment. You will push research into production and ensure models meet privacy and quality standards across devices.

You will collaborate with software engineers and ML scientists to advance speech invocation and speaker recognition, staying current with research while delivering robust solutions for users worldwide.

Qualifications

  • Strong background in machine learning and deep learning.
  • Proficiency with PyTorch and TensorFlow, plus Python/bash scripting.
  • Great problem solving, communication, and cross-functional collaboration skills.

Responsibilities

  • Build end-to-end model training and evaluation pipelines.
  • Deploy machine-learned, on-device models with privacy and quality in mind.
  • Collaborate with software engineers and ML researchers across teams to ship features.
  • Measure impact on production traffic and optimize model performance.

Skills

Machine Learning
Deep Learning
Software Engineering
Communication

Education

Bachelor's degree in CS/ML or related field

Tools

PyTorch
TensorFlow
Python
Bash

Job description

Apple in Seattle, WA is seeking an AIML Engineer for the Siri Understanding team to build end-to-end model training and on-device deployment. You will push research into production and ensure models meet privacy and quality standards across devices.

You will collaborate with software engineers and ML scientists to advance speech invocation and speaker recognition, staying current with research while delivering robust solutions for users worldwide.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior Multimodal ML Engineer for Siri
Senior Multimodal ML Engineer for Siri

Apple Inc. • Cupertino (CA)

On-site
USD 185,000 - 325,000
Medical and dental coverage
Employee stock programs
Relocation assistance
Lead ML Architect, Conversational Speech (On-Device)
Lead ML Architect, Conversational Speech (On-Device)

Apple Inc. • Cupertino (CA)

On-site
USD 263,000 - 394,000
Comprehensive medical and dental cover
Retirement benefits
Discounted products and free services
+2
Platform AI Engineer for Siri & ML Pipelines
Platform AI Engineer for Siri & ML Pipelines

Apple • Denver (CO)

On-site
USD 27,552 - 41,328
On-Device ML Data & Evaluation Engineer
On-Device ML Data & Evaluation Engineer

Apple Inc. • Cupertino (CA)

On-site
USD 150,000 - 278,000
Medical & dental
Retirement benefits
Employee stock programs
+1
Senior ML Engineer - LLMs, Agent Systems & Simulation
Senior ML Engineer - LLMs, Agent Systems & Simulation

Apple Inc. • Cupertino (CA)

On-site
USD 150,000 - 278,000
Medical & Dental
Retirement benefits
Product discounts
+4
Siri ML Systems Engineer — Build Production ML Pipelines
Siri ML Systems Engineer — Build Production ML Pipelines

Apple Inc. • Cupertino (CA)

On-site
USD 129,300 - 225,300
Stock programs
Medical & dental coverage
Retirement benefits
+4
On-Device AI Engineer - Search & Personalization
On-Device AI Engineer - Search & Personalization

Apple • Cupertino (CA)

On-site
USD 180,000 - 240,000
ML Researcher — Data & AI Innovation for Search
ML Researcher — Data & AI Innovation for Search

Apple Inc. • Seattle (WA)

On-site
USD 150,400 - 277,600
Siri Platform Engineer — Attention & Invocation
Siri Platform Engineer — Attention & Invocation

Apple Inc. • Cupertino (CA)

Hybrid
USD 150,000 - 278,000
Medical and dental coverage
Retirement benefits
Employee stock plans
+2
On-Device Siri AI Engineer: App Intelligence
On-Device Siri AI Engineer: App Intelligence

Apple • Cupertino (CA)

On-site
USD 180,000 - 240,000