Senior Machine Learning Engineer, Express AI Foundations

JOB LEVEL

P40

EMPLOYEE ROLE

Individual Contributor

The Opportunity

Adobe Express enables all users, whether individuals or large organizations, to effortlessly produce impressive content. The AI Foundations team constructs a flexible, scalable AI framework that drives creativity at scale in design, imaging, motion, and personalization. We're looking for an engineer to build and implement the AI framework for Adobe Express, merging strong ML skills with proficiency in distributed systems, data architecture, and large-scale service development. You'll contribute to building systems with intelligent behavior, reasoning workflows, and production-quality ML systems that creators interact with every day. Your work will cut through layers of the end-to-end foundation that brings Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI to life — spanning model orchestration, inference systems, data pipelines, caching and storage layers, session analytics, and continuous evaluation frameworks.

What You’ll Do

• Contribute to hands on development for building the complete AI stack for Adobe Express — covering Agentic AI, Construct AI, Imaging AI, Motion AI, and Personalization AI.
• Develop and operationalize end-to-end systems — integrating microservices, data pipelines, LLM orchestration layers, in-house and third-party models, databases, caches, session analytics, and evaluation systems into a cohesive architecture.
• Develop large-scale data and inference infrastructure to support model training, fine-tuning, evaluation, and deployment — employing Spark, Kafka, Flink, and other distributed frameworks.
• Develop high-performance runtime services for inference and orchestration with strong observability, fault tolerance, and latency guarantees.
• Apply strong caching and storage tactics to enhance efficiency and cost-effectiveness for various AI workloads.

What You’ll Bring

• 5+ years of experience in large-scale distributed systems AI infrastructure, or ML platform engineering.
• Proven expertise in building and scaling data pipelines, real-time streaming systems, and event-driven architectures (Kafka, Spark, Flink, etc.).
• Strong background in API development, caching strategies, database development, and performance optimization for large-scale serving systems.
• Hands-on experience with LLM orchestration frameworks, model routing, and multi-model inference.
• Proficiency in Python, Java, C++, or Go, with an emphasis on distributed systems, cloud-native deployment, and performance tuning.
• Familiarity with Agentic AI patterns — reasoning loops, memory persistence, task decomposition, and multi-agent coordination.
• Strong communication and collaboration skills, with experience influencing cross-functional technical direction.

Preferred Qualifications

• Bachelor's or equivalent experience in Computer Science, Data Science, Machine Learning, or a related technical field.
• Experience building large scale high throughput / low latency applications backed by ML models to build workflows
• Exposure to Generative AI (LLMs, diffusion, or multimodal architectures).
• Experience with MLOps pipelines, feature stores, and model registries.

Why Adobe

At Adobe, we’re crafting the future of creativity through intelligence. The AI Foundations team combines the agility of a startup with the scale and mission of Adobe — constructing the AI stack for Adobe Express, spanning Agentic, Design, Imaging, Motion, and Personalization AI. Join us to develop the infrastructure that brings adaptive, autonomous, and human-centered AI to millions of creators worldwide!

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.

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 Ti