Applied Materials, Inc

AI Algorithm Developer

Applied Materials, Inc • $161K — $221K *
Santa Clara, CA 95051In-Person
Information Technology
5 - 7 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • 5+ years of experience in machine learning algorithm development for industrial processes
  • Strong foundation in various machine learning techniques including deep learning and Bayesian optimization
  • Proficient in Python and familiar with TensorFlow, Keras, and other analytics libraries
  • Solid understanding of semiconductor process development workflows
  • Excellent problem-solving, communication, and collaboration abilities

Responsibilities

  • Develop advanced deep learning and optimization algorithms for semiconductor processing
  • Collaborate with experts to identify and translate process challenges into data science problems
  • Apply modeling techniques to derive insights from complex process data
  • Design scalable algorithms and specify productization requirements
  • Communicate analytical insights to diverse audiences, including leadership

Benefits

  • Supportive work culture encouraging personal and professional growth
  • Programs for employee health and wellbeing
  • Opportunities for career development and learning
  • Empowerment to innovate and push technological boundaries
Full Job Description
Position Overview

We are seeking an AI Algorithm Developer to design and implement machine learning algorithms for semiconductor manufacturing process optimization. This role requires a strong foundation in computer science fundamentals, software engineering best practices, and deep learning/optimization algorithms. You will work on challenging problems involving sparse, noisy, high-dimensional data from semiconductor equipment, building models that predict on-wafer performance from recipe parameters.

The ideal candidate combines algorithmic depth (can reason through "why", not just implement), clean code practices (design patterns, testing, maintainable systems), and critical thinking (customizes algorithms to problem constraints rather than applying cookbook solutions).

Key Responsibilities

Algorithm Development
  • Design and implement deep learning models for semiconductor process optimization (recipe inputs 12 metrology outputs)
  • Develop Bayesian optimization strategies for sample-efficient experimental design with expensive experiments

Software Engineering
  • Write clean, maintainable, scalable code following software engineering best practices
  • Apply design patterns to algorithm implementations
  • Develop comprehensive unit tests and validation frameworks for algorithms
  • Refactor prototype algorithms into production-quality code integrated with AppliedPRO architecture
  • Conduct and participate in code reviews, fostering team code quality standards
  • Document design decisions, trade-offs, and algorithmic approaches clearly
  • Build surrogate models and active learning frameworks for sparse, noisy manufacturing data
  • Create novel algorithms that combine data-driven approaches with domain constraints
  • Implement algorithms with proper data structures, computational complexity awareness, and performance optimization


Problem Solving & Innovation
  • Translate semiconductor manufacturing challenges into well-defined ML problems
  • Reason through trade-offs between accuracy, speed, and maintainability
  • Customize algorithms to handle sparse data, noisy measurements, and expensive experiments
  • Debug systematically when algorithms underperform (not trial-and-error)
  • Propose and implement innovative solutions to complex optimization problems


Collaboration
  • Work with domain experts to understand semiconductor process constraints
  • Communicate complex algorithmic concepts to non-technical stakeholders
  • Collaborate with team members on algorithm design and code architecture
  • Contribute to team knowledge sharing on ML techniques and software best practices


Key Requirements
  • Computer Science Foundation: Strong understanding of algorithms, data structures, computational complexity
  • Software Engineering: Clean code practices, design patterns, unit testing, modular architecture
  • Programming: Expert-level Python
  • Deep Learning: Neural network architectures, training dynamics, optimization techniques (can explain "why", not just use libraries)
  • Optimization Algorithms: Experience with gradient-based methods, Bayesian optimization, or evolutionary strategies
  • Critical Thinking: Ability to reason through algorithmic choices, customize for problem constraints, debug systematically


Education & Experience
  • MS or PhD in Computer Science, Applied Mathematics, Electrical Engineering, or related field
  • Computer Science degree strongly preferred
  • Relevant coursework: Algorithms, Machine Learning, Optimization, Software Engineering


Preferred:

  • GPU programming (CUDA, performance optimization)
  • Parallel computing (MPI, OpenMP, distributed training)
  • Bayesian methods (Gaussian processes, uncertainty quantification)
  • Active learning and sample-efficient optimization
  • Software Engineering
  • Experience refactoring legacy code or working with large codebases
  • CI/CD, testing frameworks (pytest, unittest, integration testing)
  • Design patterns in practice (Factory, Observer, Strategy, etc.)
  • Version control best practices (Git workflows, code reviews)
  • Performance profiling and optimization
  • Domain & Research
  • Publications in ML conferences/journals
  • Understanding of semiconductor manufacturing or materials science
  • Experience with experimental design
  • Knowledge of statistical inference from noisy experimental data
  • Experience with sparse, noisy, high-dimensional data
  • PyTorch/TensorFlow internals knowledge


Additional Information

Time Type:
Full time

Employee Type:
New College Grad

Travel:
Yes, 10% of the Time

Relocation Eligible:
No

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
Manufacturing & Automotive
Net Income
$3.8 billion
Founded
1967
5 Year Trend
+11.9%
Revenue
$18.2 billion
NASDAQ
AMAT
* Ladders Estimates

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