AI Algorithm - Intern

Applied Materials is the leader in materials engineering solutions used to producevirtually everynew chip and advanced display in the world.Ourexpertiseinmodifyingmaterials 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 ofmaking itpossible as we work together. We value our people and teams who turn possibilities into reality by advancing our strategy,accomplishinggreatthings,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 applyingcutting-edgeAI and machine learning to accelerate scientific and materials innovation. Our mission is to create domain-specific, product-centric algorithmic solutions thatdrivereal impactforour 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 thesynergyof technicalexpertiseand open-minded teamwork. We believe the best solutionsemergewhen everyone is empowered to share their unique insights and challenge conventional boundaries.

Our teamleveragesstate-of-the-artgenerative 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 learningnew 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.

Key Responsibilities

• Assistin developing, training, and evaluating large language models (LLMs) and generative AI models applied to scientific andmaterialsscience 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 andevaluationpipelines.

• Document experiments, results, and learningsclearly;contribute to internal reports or research prototypes.

Preferred Technical Skills & Background

• Coursework or research experience in machine learning, deep learning, NLP, or generative AI.

• Familiarity with Python and at least one deep learning framework such asPyTorchor TensorFlow.

• Exposure to concepts such as model fine-tuning, evaluation, or prompt engineering; prior hands-on LLM experience is a plus but notrequired.

• Interestin 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 communicationskills and willingness to collaborate across disciplines.

REQUIREMENTS/EDUCATION: 

• MS or Ph.D. degree in Computer Science, Computer Engineer, Electrical Engineer, Mathematics,Statisticsor related field