This role pays more than
88%
of similar roles. Most pay
$175,137–$241,750
— the shaded band above.
At the midpoint, this role pays about
$255k
versus about
$208k
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
1984 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1590 roles with salary data.
Sr. Software Engineer, Siri Speech will join the Siri organization to develop foundational technologies powering features like dictation, captioning, and accessibility tools across various operating systems. This role focuses on leading the design and development of next-generation Speech-to-Text APIs by integrating machine learning and generative AI capabilities into scalable, developer-friendly interfaces. The engineer will drive technical roadmaps, productionize state-of-the-art speech models in collaboration with research scientists, and mentor other team members while upholding high architectural standards. Candidates must possess strong programming skills in Swift and Objective-C, along with experience building well-documented APIs and managing cross-functional projects. The role addresses the technical challenge of integrating advanced machine learning into software systems, potentially on constrained hardware environments, to improve speech recognition and overall user interaction within a complex ecosystem of integrated technologies.
What does a Software Engineer earn in California?
Median $214000 from 775 postings across 63 companies.
Deep Learning
Python
PyTorch
JAX
TensorFlow
Model Compression
Algorithm Optimization
Parallel Computing
Natural Language Understanding
Multi-modal Modeling
Large Scale Machine Learning
Foundation Models
Software Design
Deep Learning
Python
PyTorch
JAX
TensorFlow
Natural Language Processing
Speech Recognition
multi-modal learning
Conversational AI
Audio Modeling
Foundation Models
Machine Learning Training