Algorithm Developer II

Applied Materials

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$131,000–$180,000 / yr
Employment
Full-time
Posted
20 days ago
Freshness
Confirmed live yesterday
Closes
Nov 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $187k
This role $156k
$118k most similar roles pay here $251k

This role pays less than 74% of similar roles. Most pay $153,343–$219,987 — the shaded band above. At the midpoint, this role pays about $156k versus about $187k 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 212 open roles on FindRole.

Listed pay typically runs $128,000–$176,000 across 163 roles with salary data.

Most-posted roles

View all roles at Applied Materials

At a glance

TL;DR · Algorithm Developer II

Algorithm Developer II New College Grad- Master's (Santa Clara, CA) is a role focused on developing data-driven models and analytics solutions to improve equipment performance, process efficiency, and operational decision-making. Working within the scope of digital twin initiatives, the engineer will develop and train models for various processes, analyze data to identify trends or anomalies, and build predictive methodologies using statistical and machine learning techniques. The candidate will collaborate with cross-functional teams to define requirements, deploy solutions, and validate model performance. Required skills include proficiency in Python and SQL, along with demonstrated experience in machine learning and an understanding of statistical concepts. The role addresses technical challenges within the semiconductor equipment and manufacturing domain. Preferred qualifications include knowledge of modeling and simulation or specific experience in semiconductor manufacturing environments.

What you'll do

  • Develop and train models for various types of equipment and processes.
  • Analyze data to identify trends, anomalies, and opportunities for improvement.
  • Build predictive methodologies using statistical and machine learning techniques.
  • Optimize models to improve equipment performance and process efficiency.
  • Define requirements and deploy analytics solutions with cross-functional teams.
  • Validate model performance and drive continuous improvement initiatives.
  • Support digital twin and related modeling and simulation projects.

What we're looking for

  • Master's degree in Engineering, Physics, Mathematics, Computer Science, or a related technical field.
  • Proficiency in Python and SQL.
  • Demonstrated experience in machine learning.
  • Understanding of statistical concepts.
  • Strong communication and collaboration skills.
  • Knowledge and experience of digital twin, modeling, and simulation (preferred).
  • Knowledge of semiconductor equipment or manufacturing (preferred).

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