below marketmost similar roles pay hereabove market
This role pays more than
52%
of similar roles. Most pay
$195,150–$249,000
— the blue band above.
At the midpoint, this role pays about
$214k
versus about
$222k
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.
The Machine Learning Algorithm Engineer joins the Human Interface Devices team to develop core algorithms for hand and gaze input and AI-powered experiences on Vision Pro. This role involves building features through the entire development cycle, including prototyping, data collection design, model development, and evaluation. You will develop realtime, resource-constrained models for computer vision applications, defining key performance indicators to measure user experience impact. Required skills include proficiency in Python, PyTorch, or TensorFlow for model training, and experience with CNNs, distillation, and quantization. You should also be familiar with genAI tools like Claude Code or Cursor. The work involves solving multidisciplinary problems at the intersection of sensing technologies and user interfaces, requiring collaboration with sensor, data, software, and design partners.
Prototype and define features end-to-end in collaboration with hardware, software, and design partners.
Design data collections and synthetic data generation for model development and evaluation.
Define key performance indicators to evaluate the user experience impact of model performance.
Develop real-time, resource-constrained models for user input and intelligence features.
Root cause issues throughout the feature stack by collaborating with cross-functional teams.
Communicate the user impacts of technical challenges to cross-functional stakeholders.
What we're looking for
BS in Computer Science, Electrical Engineering, or a related field or equivalent experience.
2+ years of experience building ML models, including data preparation, architecture selection, training, and evaluation.
Proficiency in Python for data analysis and model development.
Experience developing realtime, resource-constrained models using efficient architectures and compression techniques like distillation and quantization.
Experience using genAI tools for software development.
Excellent problem solving, root cause analysis, and cross-functional communication skills.
Experience developing input or interaction technologies (preferred).
MS/PhD in Computer Science, Electrical Engineering, or a related field or equivalent experience (preferred).
Generative AI
Python
PyTorch
Signal Processing
Time-series Analysis
Deep Learning
C/C++
Digital Signal Processing
Data Pipelines
GPU Clusters
Machine Learning
Feature Extraction
Spectral Analysis