Applied Materials

1 month ago

Application Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Develop and deploy advanced analytics and AI/ML models for complex industrial/manufacturing systems, translating operational needs into scalable, production-ready solutions. You’ll analyze operational data to find patterns and anomalies, validate models with real-world false-positive/false-negative analysis, and improve performance, reliability, and release readiness. Partner across engineering, software, product, and field teams to prototype new approaches, productionize them, and produce clear technical documentation.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Break down complex engineering problems and unstructured domain knowledge into structured analytical inputs.
•Analyze operational data to identify patterns, anomalies, and actionable insights for system performance improvement.
•Design, develop, and maintain analytics and algorithmic models for industrial applications, including prototyping new approaches.
•Validate analytical models against real-world scenarios (including false positive/false negative analysis) and ensure robustness before and after deployment.
•Manage analytics lifecycle activities such as validation, versioning, and release readiness, and collaborate with product/software/field teams to deploy and improve solutions.

Pay and Benefits

Salary: USD 100,000 - 136,500 annually

Key Requirements

•Bachelor’s degree in Engineering, Computer Science, Data Science, or a related field.
•5+ years of relevant experience with a Bachelor’s degree, or 2+ years with a Master’s degree, in application engineering, algorithm development, or related technical roles.
•Experience applying model/version lifecycle management, release processes, or production software environments.
•Strong problem-solving skills with a research-oriented mindset and the ability to translate data insights into engineering decisions.
•Basic programming skills (Python, R, or similar) for data analysis and prototyping, with practical familiarity applying modern AI/ML (including Generative AI).

Experience:IndustrialManufacturingComplex systems

Education:Bachelor's

Skills:Problem-solvingSelf-starterResearch-oriented mindsetCross-functional collaborationWritten and verbal communication

Tech Stack:PythonRC#AI/MLGenerative AIDeep learningOptimizationModel/version lifecycle management

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

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Applied Materials

1 month ago

Application Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Break down complex engineering problems and unstructured domain knowledge into structured analytical inputs.
•Analyze operational data to identify patterns, anomalies, and actionable insights for system performance improvement.
•Design, develop, and maintain analytics and algorithmic models for industrial applications, including prototyping new approaches.
•Validate analytical models against real-world scenarios (including false positive/false negative analysis) and ensure robustness before and after deployment.
•Manage analytics lifecycle activities such as validation, versioning, and release readiness, and collaborate with product/software/field teams to deploy and improve solutions.

Pay and Benefits

Salary: USD 100,000 - 136,500 annually

Key Requirements

•Bachelor’s degree in Engineering, Computer Science, Data Science, or a related field.
•5+ years of relevant experience with a Bachelor’s degree, or 2+ years with a Master’s degree, in application engineering, algorithm development, or related technical roles.
•Experience applying model/version lifecycle management, release processes, or production software environments.
•Strong problem-solving skills with a research-oriented mindset and the ability to translate data insights into engineering decisions.
•Basic programming skills (Python, R, or similar) for data analysis and prototyping, with practical familiarity applying modern AI/ML (including Generative AI).

Experience:IndustrialManufacturingComplex systems

Education:Bachelor's

Skills:Problem-solvingSelf-starterResearch-oriented mindsetCross-functional collaborationWritten and verbal communication

Tech Stack:PythonRC#AI/MLGenerative AIDeep learningOptimizationModel/version lifecycle management

Company Brief

Applied Materials

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

Glassdoor: 3.9

Website LinkedIn Glassdoor