Algorithm Developer

Applied Materials

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $131,000–$180,000 / yr
Posted: 3 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k

This role $156k

$121k most similar roles pay here $221k

This role pays less than 64% of similar roles. Most pay $142,400–$211,200 — the shaded band above. At the midpoint, this role pays about $156k 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 56 open roles on FindRole.

Listed pay typically runs $135,750–$186,750 across 56 roles with salary data.

Most-posted roles

View all roles at Applied Materials

At a glance

TL;DR · Algorithm Developer

Apply Now Log in to save

We are seeking a Senior Data Scientist to join our dynamic team in Santa Clara, CA. This role involves developing and evaluating machine learning and deep learning algorithms using complex time-series sensor data from semiconductor equipment. You will work closely with software engineers to create data pipelines and modeling solutions that integrate seamlessly into our internal platform, fine-tuning performance and resolving issues as they arise. Key responsibilities include conducting comprehensive feature analysis, implementing data science solutions, and documenting algorithmic development for integration and testing phases. Ideal candidates hold a Master’s degree in engineering or related fields with expertise in machine learning techniques, signal processing, and Python programming. Experience with React, SQL, and time-series data analysis of machinery tools is preferred. This position requires strong technical communication skills and the ability to collaborate effectively across global teams under fast-paced conditions.

Skills

Python React SQL Machine_Learning Deep_Learning Time_Series_Analysis Signal_Processing Data_Visualization Regression Hypothesis_Testing Classification Clustering

What you'll do

Develop and evaluate machine learning algorithms using complex time-series sensor data from semi equipment.
Perform comprehensive analysis for algorithmic features, including problem analysis and literature review.
Create executable data science solutions to provide unique insights to engineering teams.
Work with software engineers to develop data pipelines that integrate with internal platforms.
Troubleshoot and optimize algorithm performance, resolving issues in the modeling pipeline.
Document algorithm development processes and support implementation, integration, and testing phases.

What we're looking for

Master’s degree in a relevant engineering or science field.
Proficient in machine learning and deep learning techniques.
Experience with data extraction, cleaning, signal processing, and visualization.
Strong Python programming skills with data science packages.
Ability to communicate technically with global colleagues effectively.
Preferred: PhD with time-series analysis of machinery tools experience.

Similar roles

Software Engineer

Applied Materials

Santa Clara, CA 10 days ago $179,500–$246,500

Python C++ Java Rust PyTorch FPGA Modern C++ Machine learning Web service architecture Signal processing Computer vision Robotics User interface design Mathematical modelling Numerical methods GPU programming Embedded system development

Save

Software Engineer

Austin, Texas 73 days ago

Python SQL AWS RESTful APIs Docker Kubernetes CI/CD Git PostgreSQL Redis GraphQL Swagger JUnit Selenium Jenkins Prometheus Grafana Ansible Terraform

Hybrid

Save

Software Engineer

Cary, North Carolina 58 days ago

Python SQL Javascript Vue.js OpenAPI Node.js CI/CD Docker GitLab Snowflake Airflow Cloud-Native Architecture Service-Oriented Architecture Agile Methodology

Hybrid

Save