Applied Scientist 5

Adobe Systems
Bengaluru, Noida
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Education: mastersSkills: ["Communication","Cross-functional collaboration","Research experimentation","Mentorship","Technical leadership"]

Lead foundational research in agentic AI and intelligent systems, advancing models and learning paradigms that enable AI agents to reason, plan, learn, remember, and use tools over long-horizon tasks. Develop novel architectures, algorithms, training methods, and inference techniques across LLMs, generative modeling, NLP, computer vision, multimodal learning, representation learning, and reinforcement learning. Build research prototypes, run rigorous experiments, publish, and translate results into product.

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FursaFursa
Adobe Systems
Adobe Systems
5 hours ago

Applied Scientist 5

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Lead foundational research in agentic AI and intelligent systems, advancing models and learning paradigms that enable AI agents to reason, plan, learn, remember, and use tools over long-horizon tasks. Develop novel architectures, algorithms, training methods, and inference techniques across LLMs, generative modeling, NLP, computer vision, multimodal learning, representation learning, and reinforcement learning. Build research prototypes, run rigorous experiments, publish, and translate results into product.
Location: Bengaluru, Noida
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Conduct fundamental and applied research in agentic AI, including reasoning, planning, memory, tool use, multimodal intelligence, and long-horizon interaction.
  • •Develop novel model architectures, learning algorithms, training methodologies, and inference techniques to improve AI agent capabilities.
  • •Advance agent intelligence through research across LLMs, generative models, NLP, computer vision, multimodal learning, representation learning, and reinforcement learning.
  • •Investigate problems such as reasoning, planning, memory, grounding, adaptation, self-improvement, tool use, and learning from interaction.
  • •Build and evaluate research prototypes with rigorous experimental methodologies; validate ideas for product impact, submit IP, and publish.

Key Requirements

  • •9+ years of hands-on ML engineering experience in industry or research.
  • •MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field with significant industry or research experience.
  • •Strong fundamentals in machine learning, deep learning, optimization, and statistical modeling.
  • •Research experience in one or more of: large language models and NLP, generative modeling, computer vision, multimodal foundation models, representation learning, or reinforcement learning/learning from interaction.
  • •Ability to formulate novel research problems, develop new approaches, and experimentally validate hypotheses.
Experience:Agentic AIFoundation modelsLarge language modelsNLPComputer visionMultimodal learningReinforcement learning
Education:Master's in Computer Science, Machine Learning, Artificial Intelligence
Skills:CommunicationCross-functional collaborationResearch experimentationMentorshipTechnical leadership

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
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