The Opportunity
Adobe is looking for a Senior Machine Learning Engineer to help shape the future of agentic AI in the enterprise. In this role, you will design, build, and scale cutting-edge platforms and products that redefine how enterprises create and optimize customer experiences and marketing campaigns. You will play a key role in advancing
AEP Agent Orchestrator-a foundational platform layer that manages and connects Adobe and third-party agents. You will work in a fast-moving, high-impact environment with a team of talent engineers and applied scientists where creativity, collaboration, and data-driven innovation come together to make a real difference.
What you'll do
- Design and development 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 of innovations
- Engage in the product lifecycle, design, deployment, and production operations.
What you need to succeed
The ideal candidate will have the following background:
- PhD or MS degree in Computer Science or related field required.
- 5+ years of experience in machine learning, including production-scale deployments
- Experience with agile development, and short release cycles
- Good understanding of statistical modeling, machine learning, or analytics concepts; ability to quickly learn new skills and work in a fast-paced team.
- 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.
- Experience working with both research and product teams.
- Excellent problem-solving and analytic skills
- Excellent communication and relationship building skills.
Expected Pay Range: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 $151,800 -- $265,350 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 $183,300 - $265,350
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.
