Adobe is looking to hire a Senior Machine Learning Engineer to help shape the future of agentic AI in the enterprise, redefining how enterprises create and optimize customer experiences and marketing campaigns by advancing AEP Agent Orchestrator.
Requirements
- 5 + years of experience in machine learning, including production-scale deployments
- Proficient in one or more programming languages such as Python and Java.
- Familiarity with cloud development on Azure/AWS.
- Experience using Relational (MySQL, Postgres) and NoSQL datastores (Redis, ElasticSearch , Snowflake) along with data access patterns and strategies
- Experience working with at least one deep learning framework such as TensorFlow or PyTorch .
- Experience with LLMs including prompt/context-engineering, modern LLM APIs, fine-tuning models etc.
Responsibilities
- Design and d evelopment of state-of-the-art agentic AI system and platform powered by generative AI, including working on engineering problems such as defining APIs, integrating with UIs, deploying Cloud services, CICD, etc., as well as implementing ML- and LLM-Ops best practices , delivering high quality, production ready code .
- Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
- Partner with researchers and applied scientists on productization o f innovations
- Engage in the product lifecycle, design, deployment, and production operations.
Other
- PhD or MS degree in Computer Science or related field required .
- Experience with agile development , and short release cycl es
- Good understanding of statistical modeling, machine learning, or analytics concepts; ability to quickly learn new skills and work in a fast-paced team.
- Experience working with both research and product teams.
- Excellent problem-solving and analytic skills
- Excellent communication and relationship building skills.
