Applied Materials

Data Scientist - Agentic AI / ML

Santa Clara, CA, United States

Live, first seen by us 45 days ago

Pay: $170,000–234,000/yearAnnual period assumed — pay source
Salary: $170,000.00 - $234,000.00 Location:
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Work setting: Not stated
Employment: Full-time — employment source
Time Type: Full time Employee Type:
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What you’ll work on

Full posting

Develop and deploy machine learning models from concept to production
Fine-tune LLMs and build embedding-based search systems
Direct architects on GenAI solution designs for stakeholders
Build demand and material forecasts from historical and real-time data
Gather requirements and recommend KPIs with business units

From the employer’s posting

research and develop machine learning models from inception to deployment

including fine-tuning models, creating embedding-based search systems

Directing architects to design and solution GenAI architectures for stakeholders

Use data mining and machine learning algorithms to provide insights into historical and real-time data for projects such as material forecast, demand forecast

Interfaces with stakeholders for requirements analysis and special requests and schedules; derives insights and works with business units to determine actions and KPI for those actions

What you’ll bring

All qualifications

Core experience

3-5 years of industry experience in applied machine learning or related AI work.
Hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG) and a solid understanding of how large language models are architected and operated.
Hands-on experience with:
Proficiency in Python, SQL, and tools such as scikit-learn, and forecasting libraries.
Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders.

Qualification wording

3-5 years of industry experience in applied machine learning or related AI work.

Hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG) and a solid understanding of how large language models are architected and operated.

Hands-on experience with:

Proficiency in Python, SQL, and tools such as scikit-learn, and forecasting libraries.

Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders.

Education & alternatives

Requirements - Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research). - 3-5 years of industry experience in applied machine learning or related AI work.

About Applied Materials

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world.

In the employer’s words · Read in context

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Posting record

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Status in our records: Live
First seen by us: Sep 20, 202645 days ago
Recorded sightings: 170
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$170K–$234K against $118K–$193K, the middle half of what similar US postings state.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 45

Similar jobs usually come down between day 7 and day 55.

At Applied Materials, jobs usually come down by about day 41.

From 10,100 similar postings that came down, and 48 of Applied Materials’s. Coming down is not always a hire.

Applied Materials is hiring

21 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Scientist hiring is steady
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
PyTorch
scikit-learn
TensorFlow

Where the posting names them

- MLOps, including model deployment, versioning and performance monitoring in production environments - Proficiency in Python, SQL, and tools such as scikit-learn, and forecasting libraries. - Excellent analytical and problem-solving abilities, Machine Learning Concepts

- Building GenAI-focused application and applying LLMs and agentic AI (e.g., agents, reasoning workflows, or RAG) - Have personally implemented models in common Deep Learning frameworks such as PyTorch, Jax or TensorFlow. - MLOps, including model deployment, versioning and performance monitoring in production environments

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Your next step

Complete your application on jobs.appliedmaterials.com. The employer’s form will show what is required.

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Who We Are

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.

What We Offer

Salary:

$170,000.00 - $234,000.00

Location:

Santa Clara,CA

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Key Responsibilities:

Job Description

Applied Materials’ Joint Operations Leadership (JOLT) Data Science team is seeking a Data Scientist to join our growing organization. JOLT plays a critical role in rebuilding customer trust, creating an agile and resilient supply chain, reshaping supplier relationships, driving operational excellence, and maximizing profitability through advanced analytics, AI, and machine learning.

This role offers the opportunity to work on high‑impact, cross‑functional initiatives and to develop end‑to‑end AI solutions—from problem formulation to production deployment.:

Works in project teams developing difficult analytical models, algorithms and automated processes, research and develop machine learning models from inception to deployment.
Work on GenAI and LLM projects, including fine-tuning models, creating embedding-based search systems, and developing AI-driven prototypes to enhance business operations.
Directing architects to design and solution GenAI architectures for stakeholders, specifically for plugin-based solutions and custom GenAI application builds.
Use data mining and machine learning algorithms to provide insights into historical and real-time data for projects such as material forecast, demand forecast, pattern recognition, etc.
Interfaces with stakeholders for requirements analysis and special requests and schedules; derives insights and works with business units to determine actions and KPI for those actions.
Identify opportunities for forecast accuracy improvement and provide business insights and additional perspectives to Service Supply Chain leadership
Collaborate with Material Planning, Field Operations, Inventory Management, NPI, Production Demand Planning, Reliability Engineering, Service Campaigns Teams to gather data and bring information on key business drivers that impact the future demand on Service Parts and Accessories

Requirements

Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).
3-5 years of industry experience in applied machine learning or related AI work.
Hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG) and a solid understanding of how large language models are architected and operated.
Can work collaboratively with cross-functional teams.
Hands-on experience with:
- Building GenAI-focused application and applying LLMs and agentic AI (e.g., agents, reasoning workflows, or RAG)
- Have personally implemented models in common Deep Learning frameworks such as PyTorch, Jax or TensorFlow.
- MLOps, including model deployment, versioning and performance monitoring in production environments
- Proficiency in Python, SQL, and tools such as scikit-learn, and forecasting libraries.
Excellent analytical and problem-solving abilities, Machine Learning Concepts
Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders.

Interpersonal Skills

Communicates difficult concepts and negotiates with others to adopt a different point of view

Location

Santa Clara, CA; on-site full-time

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

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