AI Research Scientist - Algorithm

Applied Materials India; Chennai; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Applied Materials India in Chennai seeks an AI Research Scientist - Algorithm to advance generative AI for materials science and hardware design. You will collaborate with scientists and engineers to translate frontier research into practical, high-impact applications.

Responsibilities include pretraining and aligning LLMs, designing data pipelines, and publishing findings. Requires MS/PhD in relevant field and strong Python, PyTorch skills.

Qualifications

• MS or Ph.D. in CS, CE, EE, Math, Stats or related field.
• Strong research background in ML, NLP, or AI.
• Experience with generative models and AI research.

Responsibilities

• Develop, pretrain, fine-tune, and align LLMs and generative models for scientific data and workflows.
• Innovate post-training alignment and evaluation for domain-specific LLMs.
• Design generative approaches to accelerate materials discovery and hardware design.
• Collaborate with scientists and engineers to identify impactful AI applications.
• Build and curate scientific datasets, benchmarks, and evaluation protocols.
• Stay current with advances in AI and materials science; publish research.
• Mentor junior team members and foster an inclusive research culture.

Skills

Machine learning

NLP

Generative AI

Python

Research leadership

Education

MS/PhD in CS/CE/Math

Tools

PyTorch

TensorFlow

Job description

Job Description

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

Location: Chennai,IND 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.

AI Research Scientist - Algorithm

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.

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

Time Type: Full time

Employee Type: Assignee / Regular

Travel: Yes, 10% of the Time

Relocation Eligible: Yes

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.