Applied Materials, Inc

AI Engineer - (B5)

Applied Materials, Inc$172K — $236K *
Manufacturing & Automotive
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in machine learning and statistical modeling (Python, R)
  • Deep expertise in manufacturing data science with crossover knowledge in supply chain and engineering
  • Proven track record in agent-based systems and AI orchestration frameworks
  • Familiarity with SQL and modern data platforms for large-scale data processing
  • Strong communication skills for engaging with senior stakeholders and cross-functional teams

Responsibilities

  • Architect and scale manufacturing data ecosystems for comprehensive data management
  • Lead advanced analytics initiatives to optimize manufacturing processes
  • Drive automation through AI-powered workflows for efficient decision-making
  • Define data architecture strategies for real-time and AI-driven analytics
  • Translate data insights into actionable business outcomes with key stakeholders
  • Develop production-grade solutions for analytics to handle large datasets
  • Facilitate experimentation and continuous improvement through collaborative hypothesis testing and analysis

Benefits

  • Supportive work culture promoting personal and professional development
  • Health and wellbeing programs for work-life balance
  • Commitment to employee growth and innovative solution development
  • Opportunities for relocation
  • Participation in bonus and stock award programs
Full Job Description


What We Offer

Salary:
$172,000.00 - $236,500.00

Location:
Austin,TX

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
  • Architect and scale manufacturing data ecosystems by designing and implementing robust methods, processes, and systems to ingest, consolidate, and analyze structured and unstructured data from diverse plant, supply chain, and engineering sources.
  • Lead advanced analytics and modeling initiatives by applying statistical, machine learning, and data mining techniques (Python, R) to solve complex manufacturing problems such as yield optimization, predictive maintenance, and constraint resolution.
  • Drive agentic workflows and intelligent automation by building autonomous, AI-powered pipelines that orchestrate data ingestion, feature engineering, model execution, and decision-making at scale, reducing manual intervention and accelerating time-to-insight.
  • Define and optimize data architecture including data acquisition strategies, semantic layers, and scalable data models that support real-time analytics, digital twins, and AI-driven manufacturing use cases.
  • Translate data into actionable business outcomes by partnering closely with manufacturing operations, supply chain, and product engineering teams to define KPIs, uncover insights, and operationalize recommendations.
  • Develop production-grade analytics solutions by designing algorithms, models, and automation pipelines leveraging SQL, Python, and modern data platforms to cleanse, integrate, and process large-scale industrial datasets.
  • Enable experimentation and continuous improvement by collaborating with product, engineering, and operations teams to frame hypotheses, design experiments, and uncover deeper correlations that extend beyond current measurement systems.
  • Communicate insights with executive impact by translating complex analytical findings into clear, compelling narratives and visualizations that influence senior leadership decision-making and operational strategies.


Functional Expertise
  • Recognized as a thought leader in manufacturing data science, with deep expertise in advanced analytics, AI/ML, and industrial data systems, complemented by strong cross-domain knowledge (supply chain, quality, engineering).
  • 10+ years of experience in agent-based systems, AI orchestration frameworks, and workflow automation, enabling scalable and reusable analytics solutions.


Business Acumen
  • Proactively anticipates manufacturing, supply chain, and regulatory challenges, recommending data-driven improvements to processes, product quality, and operational efficiency.
  • Aligns analytics initiatives with strategic business priorities, driving measurable impact across cost, throughput, yield, and cycle time.


Problem Solving
  • Tackles highly complex, ambiguous problems with significant business impact using innovative analytical approaches, including AI-driven simulations, optimization models, and graph-based reasoning.
  • Designs end-to-end intelligent systems that integrate data, models, and decision logic into automated workflows.


Impact
  • Influences strategic direction, investment decisions, and resource allocation for analytics and AI programs within manufacturing.
  • Establishes best practices for data products, automation frameworks, and AI adoption across global operations.


Interpersonal Leadership
  • Effectively communicates complex technical concepts to senior stakeholders, anticipating objections and driving alignment across cross-functional teams.
  • Leads and mentors multi-disciplinary teams (data science, engineering, analytics, and UI/API) to deliver high-impact, production-ready solutions.


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.

About Applied Materials, Inc

Applied Materials specialize in materials engineering solutions. They optimize equipment and fab operations through consulting, spare parts, services, and automation software. They also provide supply chain services from transactional spares through programs, rebuilds, and forecasted parts management. Their products and technologies include semiconductors, displays, roll web coating, solar, and automation software.

**Applied Materials, Inc. Careers**

Join the innovative world of Applied Materials, Inc., a leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our global team is driving innovation and growth in the industries we serve. This is where your expertise can make a true impact.

Work You’ll Do

At Applied Materials, Inc., you will be part of a company that prides itself on fostering a culture of innovation, diversity, and professional growth. As a member of our team, you will lead groundbreaking projects at the intersection of technology, leadership, and engineering excellence. We offer a variety of job opportunities that allow you to explore your potential and push the boundaries of what's possible.

Innovate and Lead

Join a team where innovation is at the heart of everything we do. You will work alongside the brightest minds in the industry, utilizing your skills to contribute to projects that are not only exciting but also crucial for technological advancements. Our leadership is committed to providing you with the guidance and support needed to achieve your career goals.

Career Growth and Opportunities

Whether you are looking for an internship, a full-time position, or leadership roles, Applied Materials, Inc. provides an array of career paths to help you achieve your professional aspirations. Our commitment to career growth is evident through extensive training programs and opportunities for advancement.

Diversity and Inclusion

At Applied Materials, Inc., we believe that diversity fuels innovation. We are dedicated to building a diverse team that reflects the global communities we serve. Our diversity training programs are designed to enhance collaboration and foster an inclusive environment where all employees can thrive.

Benefits and Culture

Our employees enjoy a range of benefits that support both their professional and personal lives. From health and wellness programs to competitive retirement plans, we ensure that our team is taken care of. The culture at Applied Materials, Inc. is built on collaboration, respect, and a commitment to excellence.

Join Our Team

Explore the job opportunities at Applied Materials, Inc. and find the position that matches your skills and passions. We are continuously hiring and looking for individuals who are curious, creative, and ready to drive innovation in a dynamic industry.

Stay Connected

Keep up to date with the latest company news, career tips, and industry insights by joining our network. Engage with us on professional networking platforms and stay ahead in your career journey.

Apply Now

Ready to take the next step in your career? Submit your resume, prepare for your interview, and join a team that’s dedicated to materializing the technologies of tomorrow. Discover the impact you can make at Applied Materials, Inc. and help us shape the future.

SEARCH APPLIED MATERIALS JOBS

--- This page for Applied Materials, Inc. Careers incorporates all the requested elements, maintaining the "Company Content Style" with a focus on innovation, career growth, and the dynamic team environment.
Learn more about Applied Materials, Inc
Size
27,000 employees
Market Cap
$80.7 billion
Industry
Net Income
$3.8 billion
Founded
1967
5 Year Trend
+11.9%
Revenue
$18.2 billion
NASDAQ

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