Algorithm Developer

Applied Materials
Santa Clara
Workplace: OnsiteFull timeUSD 161,000 - 221,000Function: Software EngineeringEducation: mastersSkills: ["Technical communication","Mentoring","Problem solving","Troubleshooting","Data analysis"]

Develop and evaluate machine learning/deep learning algorithms using complex time-series sensor data from semiconductor equipment. Create executable data science solutions and integrate modeling/data pipelines with Applied’s internal platform. Fine-tune performance, troubleshoot issues, and document development through implementation, integration, and testing. Collaborate with SW engineering teams, communicate across multi-teams, and mentor other algorithm developers on the same module.

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Applied Materials
Applied Materials
3 months ago

Algorithm Developer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Develop and evaluate machine learning/deep learning algorithms using complex time-series sensor data from semiconductor equipment. Create executable data science solutions and integrate modeling/data pipelines with Applied’s internal platform. Fine-tune performance, troubleshoot issues, and document development through implementation, integration, and testing. Collaborate with SW engineering teams, communicate across multi-teams, and mentor other algorithm developers on the same module.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop and evaluate ML/DL algorithms using complex time-series sensor data from semiconductor equipment.
  • •Perform algorithm C&F for algorithmic modules, including problem analysis, data gathering, literature review, concept selection, and evaluation/implementation constraints.
  • •Build executable data science solutions with differentiated insights for the engineering team.
  • •Collaborate with SW engineering to create data/modeling pipelines that integrate with the internal Applied platform.
  • •Fine-tune algorithm performance, troubleshoot modeling/pipeline issues, document development, and support implementation, integration, and testing while mentoring teammates.
Travel: Low travel

Pay and Benefits

Salary: USD 161,000 - 221,000
Equity and Bonus:Equity

Key Requirements

  • •Master’s degree with 6+ years of demonstrated achievement with hardware-oriented analytics.
  • •Strong knowledge of machine learning and deep learning, including regression, time series analysis, hypothesis testing, classification, or clustering.
  • •Good domain knowledge including sensors and semiconductor process fundamentals.
  • •Experience extracting and cleaning data, plus signal processing and visualization for large datasets.
  • •Excellent programming skills including Python, data science packages, React, SQL, and ability to communicate with colleagues globally.
Experience:Semiconductor industryManufacturingHardware analytics
Education:Master's
Skills:Technical communicationMentoringProblem solvingTroubleshootingData analysis
Tech Stack:PythonReactSQLMLDeep learningTime-seriesAPI

Company Brief

Applied Materials
Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1967
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Glassdoor: 3.9
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