This role pays less than
92%
of similar roles. Most pay
$211,612–$254,812
— the shaded band above.
At the midpoint, this role pays about
$169k
versus about
$233k
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.
Machine Learning Applied Researcher - Speech, Vision and Audio will join a dynamic team to research new capabilities and develop frontier models using cutting-edge methods. The role involves tackling high-risk, high-reward challenges by researching, designing, and improving state-of-the-art deep learning models trained on unique data. Day-to-day responsibilities include implementing novel neural network architectures for automatic speech recognition, navigating ambiguous problem spaces to formulate hypotheses, and optimizing model performance against latency, memory, and compute constraints. The candidate will work with multimodal data including vision, audio, sensor, and text. Required skills include proficiency in PyTorch and experience with large-scale models, self-supervised learning, synthetic data generation, or large language model training. This role focuses on solving complex problems in the field of automatic speech recognition by synthesizing approaches from different fields to create solutions adopted across the organization.
Deep Learning
Python
PyTorch
JAX
TensorFlow
Natural Language Processing
Speech Recognition
multi-modal learning
Conversational AI
Audio Modeling
Foundation Models
Machine Learning Training
Deep Learning
Machine Learning
Python
PyTorch
Computer Vision
Audio Signal Processing
Multimodal Learning
Generative AI
Neural Networks
Objective-C
Swift
Linear Algebra
Probability
Optimization
Digital Signal Processing
Machine Learning
Deep Learning
C++
Python
TensorFlow
PyTorch
Audio Processing
CNN
RNN
LSTM
GRU
Transformer
ARM
Quantization
Linux
Unix
Signal Modeling
Automatic Speech Recognition
Text-to-Speech