Senior Machine Learning Engineer 5
We are looking for a Senior ML Engineer to lead foundational research in agentic AI and intelligent systems. This is a research-intensive role focused on advancing the underlying models, learning paradigms, and capabilities that enable AI agents to reason, plan, learn, remember, interact with tools, and operateeffectively over complex, long-horizon tasks.
This is not a prompt-engineering or agent orchestration role. We are looking for a scientist with strong fundamentals in machine learning and deep learning who can develop novel modeling and learning approaches, rather than primarily assembling existing LLMs, prompts, or agent frameworks.
The ideal candidate will have deep expertisein one or more areas of generative modeling, large language models, NLP, computer vision, multimodal learning, representation learning, reinforcement learning, or related areas, along with the ability to connect these foundations to emergingagentic systems.
The role will involve identifyingfundamental research problems in agentic intelligence, developing new algorithms and model architectures, designing rigorous experiments, and translating research advances intoproduct.
Key Responsibilities
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 to improve the capabilities of AI agents.
Advance the underlying intelligence of agents through research in 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 and establishrigorous experimental methodologies to validatenew ideas.
Rigorous experimentation to take the final solution toproduct, submitIP and publish at top-tier conferences.
Stay at the forefront of rapidly evolving research in foundation models and agentic AI, identifyingopportunities where fundamental advances can create differentiated product capabilities.
Leadership & Collaboration
Lead technical design reviews, write engineering RFCs, and set quality standards for the team.
Mentor junior and mid-level ML engineers through code reviews, 1:1s, and pair-programming sessions.
Collaborate with product, research, and infrastructure teams to translate research ideas into shipped features.
Required Qualifications
9+ years of hands-on ML engineering experience in industry or research.
MS or PhDin 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.
Demonstrated research experience in one or more of:
Large Language Models and NLP
Generative modeling (diffusion, flow matching, autoregressive models, VAEs, etc.)
Computer Vision
Multimodal foundation models
Representation learning
Reinforcement learning / learning from interaction
Reasoning and planning
Demonstrated ability to formulate novel research problems, develop new approaches, and experimentally validatehypotheses.
Strong publication record and/or demonstratedtrack recordof delivering novel ML research with measurable impact.
Strong programming and experimentation skills, particularly with modern deep learning frameworks
Excellent written and verbal communication skills with cross-functional stakeholders.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
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