Machine Learning Engineer 4

• Adobe is redefining customer intelligence. We help enterprises understand their customers deeply what they value, what they need and translate that understanding into meaningful, personalized experiences.
• The Adobe Experience Platform (AEP) is at the heart of this mission, powering data integration, governance, advanced analytics, and intelligent services at global scale. Our next chapter focuses on agent-driven AI systems autonomous, adaptive agents that orchestrate complex workflows, learn from data, and deliver real-time insights and actions.
• At the core lies our Enterprise Knowledge Base , a foundational platform that unifies structured, unstructured, and semi-structured data. This system fuels advanced AI and Generative AI applications across Adobe s digital marketing ecosystem empowering customers to unlock richer, more intelligent experiences.
• We are looking for a Senior Machine Learning Engineer who thrives on solving hard problems, scaling intelligent systems, and creating measurable impact. you'll lead the design and development of low-latency, high-throughput services that power intelligent enterprise experiences across millions of users worldwide.

Job Responsibilities

• Lead the technical design, implementation, and evolution of AEP Knowledge Base and Agentic AI systems.
• Design and deploy high-performance, low-latency distributed systems that scale globally.
• Work hands-on with foundation models (OpenAI, Anthropic, Llama, Gemini) and model adaptation techniques.
• Architect RAG (Retrieval-Augmented Generation) pipelines and optimize vector databases (FAISS, Pinecone, Weaviate, Milvus) for enterprise-grade AI solutions.
• Build evaluation, safety, and guardrail frameworks for responsible AI.
• Collaborate closely with research, platform, and product teams to integrate innovative AI into customer-facing solutions.
• Mentor engineers, drive technical excellence, and foster a culture of continuous learning.
• (Bonus) Contribute to or lead open-source initiatives in the LLM or agent ecosystem.

What you will need to succeed

• 6+ years of experience designing and developing large-scale, data-intensive distributed systems.
• 2+ years in technical leadership roles, driving architecture and mentoring teams.
• Expertise in vector databases (Pinecone, Weaviate, Milvus) and agent frameworks (LangChain, LlamaIndex, AutoGen, Haystack Agents, Semantic Kernel).
• Hands-on experience with public cloud platforms ( Azure, AWS, or GCP ).
• Strong background in relational databases (PostgreSQL, MySQL).
• Proficiency in Java, Scala, or Python , and a deep understanding of algorithms and data structures.
• A strong sense of ownership and cost-conscious design for compute and memory efficiency.
• Excellent communication skills and the ability to collaborate effectively with multi-functional teams.
• bachelors, masters, or PhD in Computer Science or a related technical field with equivalent experience.