AI Algorithm Developer

Applied Materials

Actively hiring
Santa Clara,Ca, US Posted 38 days ago $161,000$221,000 / year

At a glance

AI generated

TL;DR

The AI Algorithm Developer role at Applied Materials involves designing and implementing machine learning algorithms to optimize semiconductor manufacturing processes. This position requires a strong background in computer science fundamentals, software engineering best practices, and deep learning/optimization techniques. Day-to-day responsibilities include developing predictive models for process optimization using sparse, noisy data from semiconductor equipment, applying Bayesian optimization strategies, and writing clean, scalable code following design patterns and testing frameworks. The ideal candidate should have expertise in Python programming, neural network architectures, and experience with GPU programming and parallel computing. They will collaborate closely with domain experts to understand manufacturing constraints and communicate complex concepts effectively to non-technical stakeholders.

Skills

Python PyTorch TensorFlow Bayesian_optimization CUDA MPI OpenMP Gaussian_processes Active_learning CI/CD pytest unittest Git Docker Kubernetes PostgreSQL AWS Azure Google_Cloud_Pods Scikit-learn NumPy Pandas Matplotlib Seaborn

What you'll do

  • Design and implement deep learning models for semiconductor process optimization.
  • Develop Bayesian optimization strategies for efficient experimental design with costly experiments.
  • Write clean, maintainable code following software engineering best practices.
  • Build surrogate models and active learning frameworks for sparse, noisy manufacturing data.
  • Customize algorithms to handle specific constraints of semiconductor manufacturing challenges.
  • Translate complex semiconductor manufacturing issues into well-defined machine learning problems.
  • Propose and implement innovative solutions to complex optimization problems.

What we're looking for

  • Strong foundation in computer science fundamentals and software engineering best practices.
  • Expert-level Python programming with experience in deep learning and optimization algorithms.
  • Ability to design and implement clean, maintainable, scalable code following best practices.
  • Experience with Bayesian optimization strategies for sample-efficient experimental design.
  • Critical thinking skills to customize algorithms for sparse, noisy data and expensive experiments.

Market check

Salary context

This $161,000–$221,000 range sits above 42% of similar postings on FindRole.

Peer median band

$152,000$237,600

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$159,750$235,750

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 65 open roles on FindRole.

Listed pay typically runs $141,000–$193,500 across 65 roles with salary data.

Most-posted roles

View all roles at Applied Materials

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