The Opportunity

At Adobe’s Experience Platform, we are looking for a Senior Machine Learning Engineer to compose, build, and operate scalable intelligent AI systems that power end-user AI products. You will work closely with Adobe Research, product teams, and platform engineers to bring new capabilities from concept to production with strong reliability, governance, and measurable impact.

This is a senior, hands-on role with significant architectural ownership across the agent stack: orchestration, tool integration, retrieval and memory services, evaluation, safety/guardrails, and high-performance backend systems. The work is fast-paced, collaborative, and deeply data-driven—balancing research innovation with real-world product constraints and customer value.

What You’ll Do

• Own end-to-end architecture and delivery of production-grade agentic AI systems—from orchestration and tool execution to retrieval and response generation—built for reliability, scale, and maintainability.
• Build AI-powered product capabilities using predictive and generative approaches, enabling autonomous agents that improve customer experience workflows.
• Design robust agent orchestration (single- and multi-agent), including planning, delegation, and structured tool use, with strong control flow and failure handling.
• Develop core platform components such as retrieval (RAG), memory/state, and LLM/provider abstraction, and drive ongoing improvements through evaluation, monitoring, and experimentation.
• Establish safety, governance, and ML Ops guidelines (guardrails, observability, CI/CD, operational readiness) to ensure trustworthy, production-quality outcomes.
• Partner with Adobe Research and multi-functional teams to translate prototypes into product-ready systems, making clear tradeoffs across quality, latency, cost, and risk.
• Provide technical leadership through design docs, reviews, mentoring, and cross-team alignment—raising the bar for agentic AI engineering.

What You Need to Succeed

• Graduate degree with 10+ years of experience, or PhD with 8+ years building and deploying ML systems at scale.
• Deep expertise in machine learning, end-to-end modeling life cycle, and real-time decisioning architectures.
• Some experience with LLMs, agentic systems, prompt engineering, RAG, or context engineering, especially in production environments.
• Proven success in building and shipping end-to-end ML systems, from research to deployment and ongoing optimization.
• Hands-on experience with MLOps, including model lifecycle management, monitoring, automated retraining, CI/CD for ML, and large-scale inference systems.
• Proficiency in Python and ML frameworks such as Py Torch, Tensor Flow, Hugging Face, Lang Chain, or equivalent.
• Excellent multi-functional collaboration skills and demonstrated technical leadership.
• Experience bridging research and production in enterprise-scale AI applications.

About Adobe

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 Gen Studio 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.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

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 $172,500 -- $306,625 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 $211,800 - $306,625

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.

State-Specific Notices: California:

Fair Chance Ordinances:

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado: Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts: Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.