AI Algorithm - Intern

Applied Materials • Santa Clara, CA

2d

About The Position

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
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.
Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale helps our customers – who make smartphones, supercomputers, virtual reality headsets, autonomous vehicles and more – transform their ideas into reality.
Inside our company, we apply the idea of making it possible as we work together. We value our people and teams who turn possibilities into reality by advancing our strategy, accomplishing great things, and empowering others. We are deeply committed to fostering a Culture of Inclusion where every person knows they belong, feels empowered to bring their whole self to work, and is inspired to grow.
TEAM OVERVIEW:
We are a passionate, cross-functional team at the forefront of applying cutting-edge AI and machine learning to accelerate scientific and materials innovation. Our mission is to create domain-specific, product-centric algorithmic solutions that drive real impact for our customers.
We thrive in a collaborative environment that encourages out-of-the-box thinking and values diverse perspectives. Here, creativity flourishes—groundbreaking ideas are born from the synergy of technical expertise and open-minded teamwork. We believe the best solutions emerge when everyone is empowered to share their unique insights and challenge conventional boundaries.
Our team leverages state-of-the-art generative AI and large language models to tackle complex problems in materials science, scientific discovery, and hardware design. We work closely with scientists, engineers, and product leaders to translate frontier research into practical, high-value applications.
Ideal candidates bring a strong research background, technical leadership, and a passion for learning new technologies. If you are excited to solve complex problems, drive innovation, and help shape the future of science with AI, join us on our journey to make possible a better future through intelligent discovery.

Requirements

• Coursework or research experience in machine learning, deep learning, NLP, or generative AI.
• Familiarity with Python and at least one deep learning framework such as PyTorch or TensorFlow.
• Interest in working with scientific or technical data (e.g., research papers, experimental datasets, simulations).
• Strong problem-solving skills and curiosity, with the ability to learn quickly in a research-focused environment.
• Good communication skills and willingness to collaborate across disciplines.
• MS or Ph.D. degree in Computer Science, Computer Engineer, Electrical Engineer, Mathematics, Statistics or related field

Nice To Haves

• Exposure to concepts such as model fine-tuning, evaluation, or prompt engineering; prior hands-on LLM experience is a plus but not required.

Responsibilities

• Assist in developing, training, and evaluating large language models (LLMs) and generative AI models applied to scientific and materials science data.
• Support experimentation with fine-tuning, alignment techniques, and evaluation methods for domain-specific AI models under the guidance of senior researchers.
• Help collect, clean, and curate scientific datasets (e.g., literature, experimental data, simulations) and contribute to benchmarks and evaluation pipelines.
• Document experiments, results, and learnings clearly; contribute to internal reports or research prototypes.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 5,001-10,000 employees