This role pays less than
53%
of similar roles. Most pay
$184,050–$249,750
— the shaded band above.
At the midpoint, this role pays about
$210k
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
1723 open roles
on FindRole.
Listed pay typically runs
$162,500–$272,100
across 1398 roles with salary data.
As a Machine Learning Engineer at Apple’s Camera & Depth Architecture team, you will contribute to the development of foundational machine learning tools that integrate camera hardware and software for innovative imaging solutions. Your daily tasks include designing, training, and tuning algorithms for computational photography and computer vision, collaborating with top engineers across various departments to qualify new cameras and sensors for future products. You will build differentiable simulation pipelines and physics-informed ML models to enhance camera technology, ensuring production feasibility through validated results. The ideal candidate has a BS in electrical, optical, or computer engineering/science, along with experience in Python, PyTorch, and machine learning/deep learning systems. Preferred qualifications include an MS/PhD in related fields, expertise in deep neural networks, and knowledge of cutting-edge research trends such as diffusion models and sensor fusion.
Python
TensorFlow
PyTorch
scikit-learn
MATLAB
C++
signal processing
wireless communication
MIMO
OFDM
SDRs
GPU acceleration
embedded machine learning
real-time systems
adaptive modulation
beamforming
cognitive radio techniques
3GPP
IEEE 802.11/15
military waveforms