Machine Learning Engineer

• Architect, implement, and scale backend services that support AI applications powered by machine learning and autonomous agents.

• Design APIs and microservices that integrate LLMs, vector databases, and knowledge retrieval systems.

• Build infrastructure for AI agents (task planning, tool use, orchestration, state management).

• Ensure backend systems are reliable, performant, and secure at scale.

• Develop monitoring, logging, and observability for agent behaviors and ML pipelines.

• Work closely with product and design teams to translate requirements into scalable backend solutions.

• Stay ahead of with emerging research in LLMs, multi-agent systems, and autonomous AI.

What is needed to Succeed

We are looking for a Staff Backend Engineer with 10+ years of experience in enterprise software development using Machine Learning and Agentic AI systems to help design and scale the infrastructure behind intelligent, autonomous applications. You’ll work at the intersection of backend engineering, applied ML, and AI agent orchestration. Your role includes building APIs, data pipelines, and runtime frameworks for intelligent workflows., * BA/BS or MS degree in Computer Science, Engineering, or equivalent experience.

• Strong backend engineering skills with Python

• Proficiency in Agentic AI development

• Proficiency in building APIs, distributed systems, and data pipelines.

• Hands-on experience with LLMs, vector databases (Pinecone, Weaviate, FAISS, Milvus), and ML deployment frameworks.

• Understanding of agentic AI concepts (tool calling, memory, planning, reasoning).

• Familiarity with ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex.

• Experience with cloud platforms (AWS/Azure/GCP) and containerization (Docker, Kubernetes).

• Solid knowledge of databases (SQL and NoSQL) and event-driven architectures.

Nice to Have

• Familiarity with LangGraph, AutoGen, or other agentic frameworks.

• Contributions to open-source ML or AI infrastructure projects.

• Exposure to MLOps tooling (MLflow, Weights & Biases, Ray, Prefect, Airflow).

• Background in security for AI systems (guardrails, prompt injection defense, data privacy).

• Experience with reinforcement learning, multi-agent systems, or fine-tuning LLMs.

About Adobe

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $190,200 – $345,650 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $238,700 - $345,650

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

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.

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

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