Applied Scientist 5 (Senior Applied Scientist) at Adobe
Listed by DevShelfHub
About the Role
Agentic AI and foundation models are reshaping creative and enterprise software—and Adobe is investing heavily in foundational research to build the next generation of intelligent systems. Adobe is seeking a Senior Applied Scientist in Bengaluru to lead research in agentic AI, reasoning, planning, memory, and long-horizon interaction.
This is a research-intensive role focused on advancing models and learning paradigms that enable AI agents to reason, plan, learn, remember, interact with tools, and handle complex tasks—not a prompt-engineering or agent orchestration role.
What you'll do
- The Senior Applied Scientist will lead foundational research in agentic AI and intelligent systems.
- Conduct fundamental and applied research in agentic AI, foundation models, reasoning, planning, memory, tool use, multimodal intelligence, and long-horizon interaction
- Develop novel model architectures, learning algorithms, training methodologies, and inference techniques
- Advance agent intelligence through research in LLMs, generative models, NLP, computer vision, multimodal learning, representation learning, and reinforcement learning
- Investigate reasoning, planning, memory, grounding, adaptation, self-improvement, tool use, and learning from interaction
- Build and evaluate research prototypes and establish rigorous experimental methodologies
- Take research advances to product
- Stay current with rapidly evolving research in foundation models and agentic AI
- Lead technical design reviews and write engineering RFCs
- Set quality standards for the team
- Mentor junior and mid-level ML engineers
- Collaborate with product, research, and infrastructure teams to translate research ideas into shipped features
What we're looking for
- 9+ years of hands-on ML engineering experience in industry or research
- Strong fundamentals in machine learning, deep learning, optimization, and statistical modeling
- Demonstrated ability to formulate novel research problems, develop new approaches, and experimentally validate hypotheses
- Strong publication record and/or track record of delivering novel ML research with measurable impact
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role offers the opportunity to conduct foundational research in agentic AI with potential for top-tier conference publications and measurable product impact.
- Conduct fundamental and applied research in agentic AI, foundation models, and long-horizon interaction
- Develop novel model architectures, learning algorithms, and training methodologies
- Advance agent intelligence through LLMs, generative models, NLP, computer vision, and multimodal learning
- Investigate reasoning, planning, memory, grounding, adaptation, and tool use
- Build and evaluate research prototypes with rigorous experimental methodologies
- Take research advances to product with cross-functional collaboration
- Lead technical design reviews and write engineering RFCs
- Set quality standards and mentor junior and mid-level ML engineers
- Research advances may be submitted as IP and published at top-tier conferences
- Work on differentiated product capabilities in rapidly evolving foundation model research
- Collaborate with product, research, and infrastructure teams
About Adobe
- Industry
- Technology
- Company Size
- 500+
- Website
- adobe.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 9–13 years
- Location
- Bengaluru, India
- Work Mode
- Hybrid
- Category
- AI / ML
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