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Senior Software Applications Engineer (AI/ML)

Milpitas, CA, US • Posted 60+ days ago • Updated 6 hours ago

Full Time

On-site

USD $130,000.00 - 180,000.00 per year

Fitment

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Job Details

Skills

Artificial Intelligence
Algorithms
Data Analysis
Training
Optimization
Computer Science
Electrical Engineering
Materials Science
Python
Deep Learning
TensorFlow
PyTorch
Computer Vision
Semiconductors
Semiconductor Fabrication
Inspection
Metrology
Pandas
NumPy
SQL
Problem Solving
Conflict Resolution
Analytical Skill
Manufacturing
Visualization
Active Learning
Machine Learning Operations (ML Ops)
Machine Learning (ML)
ZEN
Communication
Collaboration
Computer Hardware

Artificial Intelligence
Algorithms
Data Analysis
Training
Optimization
Computer Science
Electrical Engineering
Materials Science
Python
Deep Learning
TensorFlow
PyTorch
Computer Vision
Semiconductors
Semiconductor Fabrication
Inspection
Metrology
Pandas
NumPy
SQL
Problem Solving
Conflict Resolution
Analytical Skill
Manufacturing
Visualization
Active Learning
Machine Learning Operations (ML Ops)
Machine Learning (ML)
ZEN
Communication
Collaboration
Computer Hardware

Summary

Overview

Role Summary

We are seeking a Senior Applications Engineer to join our team, focusing on the development of cutting-edge machine learning and artificial intelligence solutions for the semiconductor industry. The ideal candidate will have extensive experience in creating robust and scalable software, with a strong background in data analysis, machine learning, and containerization technologies.

Responsibilities

Design and Implement ML/AI Algorithms: Help develop and implement advanced machine learning and AI-based algorithms for the automatic classification of defects in semiconductor inspection tools.
Data Analysis: Analyze large volumes of defect data to identify critical patterns, trends, and anomalies, using this analysis to inform model development.
Training and Model Development: Train, validate, and deploy defect classification models, ensuring they meet strict performance and accuracy requirements.
System Optimization: Continuously improves the accuracy, efficiency, and reliability of the defect classification system through iterative development and optimization.

Qualifications

Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Materials Science, or a related technical field.
Machine Learning Expertise: Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch specifically for computer vision tasks (CNNs, Transformers).
Semiconductor Knowledge: Familiarity with semiconductor manufacturing processes or inspection metrology is highly preferred.
Data Proficiency: Experience handling large datasets and using tools like Pandas, NumPy and SQL for data preprocessing and feature engineering.
Problem Solving: Strong analytical mindset with the ability to translate complex manufacturing defects into actionable data models, data ingestion, analysis, and visualization.

Preferred Skills

Experience with Mismatched Data or Active Learning techniques to handle rare defect types.
Knowledge of ML Ops tools (ML Flow, zen Flow etc.) for model deployment and monitoring in a production environment.
Excellent communication skills to collaborate with cross-functional hardware and software teams.

Pay Range

USD $130,000.00 - USD $180,000.00 /Yr.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: idssoft
Position Id: 53bc172373cfeea1b5d986daf24e46e2
Posted 30+ days ago

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