AI Research Scientist - Algorithm

Applied Materials
Chennai
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Collaboration","Communication","Technical leadership","Out-of-the-box thinking","Mentoring"]

Work on a cross-functional team applying cutting-edge AI and machine learning to accelerate materials innovation. Develop, pretrain, fine-tune, and align LLMs and generative models for scientific and materials science data, literature, and workflows. Create post-training and evaluation methods to ensure robust, accurate, trustworthy domain models. Build datasets, benchmarks, and protocols, publish research, and mentor junior team members.

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FursaFursa
Applied Materials
Applied Materials
2 months ago

AI Research Scientist - Algorithm

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Work on a cross-functional team applying cutting-edge AI and machine learning to accelerate materials innovation. Develop, pretrain, fine-tune, and align LLMs and generative models for scientific and materials science data, literature, and workflows. Create post-training and evaluation methods to ensure robust, accurate, trustworthy domain models. Build datasets, benchmarks, and protocols, publish research, and mentor junior team members.
Location: Chennai
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop, pretrain, fine-tune, and align LLMs and generative models for scientific and materials science data and workflows.
  • •Innovate post-training methods and alignment/evaluation to make domain-specific LLMs robust, accurate, and trustworthy.
  • •Design generative approaches to accelerate materials discovery, hypothesis generation, and hardware design.
  • •Collaborate with scientists, engineers, and cross-functional teams to identify impactful generative AI applications in materials science.
  • •Build and curate scientific datasets, benchmarks, and evaluation protocols; publish original research and mentor junior team members.
Travel: Low travel

Key Requirements

  • •MS or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Statistics, or a related field.
  • •Strong research background in machine learning, deep learning, NLP, and generative AI for scientific or technical domains.
  • •Hands-on experience with LLM pretraining, supervised fine-tuning (SFT), post-training alignment such as 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).
Experience:Artificial intelligenceMachine learningGenerative AINLPMaterials scienceScientific discovery
Education:Master's in Computer Science, Computer Engineer, Electrical Engineer, Mathematics, Statistics or related field
Skills:CollaborationCommunicationTechnical leadershipOut-of-the-box thinkingMentoring
Tech Stack:PythonPyTorchTensorFlowDockerLarge language modelsLLMsGenerative AIRLHF

Company Brief

Applied Materials
Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1967
Glassdoor
Glassdoor: 3.9
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