This role pays less than
69%
of similar roles. Most pay
$177,300–$254,750
— the shaded band above.
At the midpoint, this role pays about
$191k
versus about
$216k
for comparable roles.
Based on 240 similar postings.
Employer
About Applied Materials
Applied Materials is the world''s largest supplier of equipment, services, and software for the semiconductor and display industries, enabling the production of chips and advanced displays. Industry: Semiconductor Equipment
Applied Materials currently has
128 open roles
on FindRole.
Listed pay typically runs
$132,750–$182,500
across 128 roles with salary data.
As a CV/ML/DL Algorithm Developer, you will lead the research, design, development, and implementation of algorithmic modules focused on semiconductor process control tools. Your daily work involves performing feasibility studies for classical and machine learning based computer vision algorithms, including data gathering, literature review, and prototype evaluation to solve complex problems like defect detection, classification, metrology, and image analysis. You will collaborate with cross-functional teams to productize solutions while benchmarking and optimizing algorithms to reduce computational costs. The role requires expertise in C/C++, Python, and frameworks such as TensorFlow or PyTorch, alongside a strong background in computer vision and deep learning. Candidates should possess an academic background in related fields and have experience in the semiconductor industry to address technical challenges within the manufacturing of display and semiconductor chips.
Python
Java
C++
MLOps
DevOps
Natural Language Processing
Deep Learning
Computer Vision
Docker
Kubernetes
Infrastructure-as-Code
AWS
Azure
Linux
UNIX
Cloud-native
Data Science
Machine Learning Engineering
Deep Learning
Computer Vision
3D Perception
Python
PyTorch
JAX
C++
Model Optimization
Distributed Training
Data Pipelines
Multi-view Geometry
3D Reconstruction
Machine Learning
Deep Learning
Computer Vision
3D Perception
Python
PyTorch
JAX
C++
Distributed Training
Model Optimization
Data Pipelines
Multi-view Geometry
3D Reconstruction
Machine Learning
Geometric Deep Learning