Senior ML Engineer — GenAI & Scalable AI Systems

Adobe; San Jose (CA); On-site; USD 187,000 - 271,000; Full time

Job summary

Adobe is seeking a Senior Machine Learning Engineer for its Experience Intelligence team in San Jose. You will design, build, and deploy production-grade AI systems, including GenAI agents, predictive ML, and retrieval/ reasoning pipelines, with a focus on reliability and scalability.

You will own end-to-end AI solutions from architecture to deployment, collaborate with product managers, and prototype new AI opportunities to deliver measurable business value.

Qualifications

• MS or PhD in Computer Science, Machine Learning, or related field, or equivalent practical experience.
• 5+ years of experience building and deploying machine learning, GenAI, NLP, retrieval, or related AI systems.
• Strong understanding of modern LLM and agentic AI technologies, including RAG, tool/function calling, reasoning, evaluation, and context management.
• Strong foundation in machine learning, predictive modeling, statistics, and techniques for working with large-scale structured and unstructured data.
• Strong software engineering skills, including Python, data structures and algorithms, system design, testing, code quality, and production debugging.
• Experience building production AI/ML services using technologies such as PyTorch, REST APIs, Docker, data/orchestration pipelines, and cloud platforms such as Azure or AWS.
• Experience designing scalable and reliable AI systems and evaluating them across quality, latency, cost, and operational performance.
• Excellent problem-solving and communication skills, with the ability to work effectively across technical and business teams in a fast-paced environment.

Responsibilities

• Design, build, and deploy production-grade AI systems, including GenAI agents, predictive ML, retrieval and reasoning systems, agent frameworks, tool calling, multi-agent workflows, APIs, and data pipelines, with a strong focus on quality, scalability, reliability, and performance.
• Develop AI/ML solutions over large-scale structured and unstructured enterprise data, including evaluation frameworks and techniques to continuously improve accuracy and user experience.
• Own solutions end-to-end, from architecture and experimentation through implementation, testing, deployment, monitoring, and continuous improvement.
• Partner closely with product managers and collaborators to identify high-value problems and integrate AI capabilities into real-world sales and marketing workflows.
• Identify and prototype emerging AI opportunities, turning new technologies and ideas into differentiated, production-ready capabilities.

Skills

GenAI

NLP

RAG

Tool calling

Production ML

Education

MS/PhD in CS/ML or equivalent

Tools

PyTorch

REST APIs

Docker

AWS

Azure

Job description

Adobe is seeking a Senior Machine Learning Engineer for its Experience Intelligence team in San Jose. You will design, build, and deploy production-grade AI systems, including GenAI agents, predictive ML, and retrieval/ reasoning pipelines, with a focus on reliability and scalability.

You will own end-to-end AI solutions from architecture to deployment, collaborate with product managers, and prototype new AI opportunities to deliver measurable business value.