Algorithm Developer

Applied Materials

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$161,000–$221,000 / yr
Posted
100 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k
This role $191k
$125k most similar roles pay here $231k

This role pays more than 59% of similar roles. Most pay $135,382–$218,500 — the shaded band above. At the midpoint, this role pays about $191k versus about $177k 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.

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View all roles at Applied Materials

At a glance

TL;DR · Algorithm Developer

As an Algorithm Developer, you will join a team focused on developing and evaluating data science modeling algorithms using complex time-series sensor data from semiconductor equipment. Your daily responsibilities include performing algorithmic concept and feasibility studies, gathering data, conducting literature reviews, and building executable solutions to provide insights for engineering teams. You will collaborate with software engineers to develop integrated data pipelines, fine-tune algorithm performance, troubleshoot issues, and document the development process while acting as a technical tutor for other developers. The role requires expertise in machine learning, deep learning, signal processing, and visualization for large datasets. Essential skills include proficiency in Python, React, and SQL. You will solve manufacturing problems by applying statistical techniques like regression and clustering to sensor data within the semiconductor manufacturing domain.

What you'll do

  • Develop and evaluate machine learning and deep learning algorithms using complex time-series sensor data from semiconductor equipment.
  • Perform algorithmic concept and feasibility studies including problem analysis, data gathering, and literature reviews.
  • Build executable data science solutions that provide differentiated insights to the engineering team.
  • Collaborate with software engineers to develop integrated data and modeling pipelines for internal platforms.
  • Fine-tune algorithm performance and troubleshoot issues within the modeling pipeline.
  • Document algorithmic development and manage the implementation, integration, and testing of modules.
  • Act as a technical tutor and instructor for other developers working on shared algorithmic modules.

What we're looking for

  • Master's degree with 6+ years of experience in hardware-oriented analytics.
  • PhD degree with 3+ years of experience in time-series data analysis of machinery tools.
  • Strong knowledge of machine learning, deep learning, and statistical data analysis techniques like regression and clustering.
  • Experience in data extraction, cleaning, signal processing, and visualization for large datasets.
  • Proficiency in programming languages including Python, SQL, and React.
  • Domain knowledge of sensors and semiconductor processes.
  • Experience developing data science methods for manufacturing problems or hardware/process engineering in the semiconductor industry.
  • Ability to conduct technical communication with global teams in a fast-paced environment.

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