Senior ML Platform Engineer – Data and Systems

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

We are looking for a Senior Machine Learning Engineer to join our team of passionate ML and software engineers. This role is ideal for someone who thrives on enabling others—building the infrastructure, tools, and data pipelines that empower ML teams to deliver customer-facing features powered by Document Cloud data.

You’ll work on high-impact projects that combine system design
, ML model evaluation
, and data pipeline development
, while ensuring our AI systems are ethical
, compliant
, and scalable
.

If you’re excited about shipping innovative ML capabilities, collaborating across teams, and shaping the future of AI platforms, we’d love to hear from you.

• Build and maintain scalable AI data pipelines using Databricks
  , Spark
  , and cloud-native tools (e.g.,
  Azure
  , AWS
  ).
• Design and implement backend services and platform components that power ML and Generative AI features across products.
• Develop and evaluate ML models using classical and deep learning techniques, including GenAI
  , LLMs
  , SLMs
  , and Retrieval-Augmented Generation (RAG).
• Apply techniques such as model distillation and fine-tuning to optimize performance and efficiency of AI components.
• Leverage synthetic data generation and differential privacy to enhance our products using customer interactions while preserving Adobe’s commitment to ethical AI
  .
• Collaborate with product, legal, and policy teams to ensure regulatory compliance
  .
• Create reusable templates, frameworks, and documentation to accelerate ML development across teams.
• Monitor and improve the efficiency, accuracy, and fairness of AI workflows in production.
• Mentor junior engineers and contribute to a culture of technical excellence and inclusion.

• Graduate degree (MS or Ph.D.) in Computer Science, Machine Learning, or a related field.
• 10+ years of experience in ML engineering or platform roles, including work with existing scalable platforms (Data Bricks, Snowflake, etc.).
• Strong software engineering skills, including CI/CD, version control, and code reviews.
• Expert level proficiency in Python and ML frameworks.
• Experience deploying ML models in production environments and managing MLOps workflows.
• Familiarity with cloud platforms (Azure preferred) and Databricks
  .
• Strong understanding of data structures, algorithms, and system design.
• Excellent communication skills and a collaborative mentality.

• Experience with document intelligence
  , OCR
  , or NLP on unstructured data.
• Knowledge of vector databases and modern NLP techniques.
• Contributions to internal wikis, open-source ML tools, or platform documentation.

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.

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.