Machine Learning Engineer (Generative AI)

Who We Are

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.

What We Offer

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Youll 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 possiblewhile 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. Were 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.

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 flourishesgroundbreaking 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.

KEY RESPONSIBILITIES:

• Develop pretrain fine-tune and align LLMs and generative models tailored for scientific and materials science data literature and workflows.
• Innovate post-training methods alignment and evaluation for domain-specific LLMs ensuring models are robust accurate and trustworthy for scientific use cases.
• Design and implement generative approaches to accelerate materials discovery hypothesis generation and hardware design.
• Collaborate with scientists engineers and cross-functional teams to identify impactful applications of generative AI in materials science.
• Build and curate scientific datasets benchmarks and evaluation protocols for model validation and continuous improvement.
• Stay current with advances in AI machine learning and materials science and publish original research in top venues.
• Mentor junior team members and contribute to a collaborative inclusive research culture.

TECHNICAL SKILLS:

• Strong background in machine learning deep learning NLP and generative AI with a focus on scientific or technical domains.
• Hands-on experience with LLM pretraining supervised fine-tuning (SFT) post-training alignment (e.g. RLHF) and rigorous model evaluation.
• Proficiency in Python and frameworks such as PyTorch or TensorFlow.
• Experience working with structured and unstructured scientific data (e.g. literature experimental results simulation outputs) and developing domain-specific models.
• Excellent communication skills with the ability to collaborate across disciplines and present complex ideas to diverse audiences.

REQUIREMENTS/EDUCATION:

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

Additional Information

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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 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 or by calling our HR Direct Help Line at 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.