Senior ML Platform Engineer – Data and Systems 5.5

Adobe • San Jose, CA

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About The Position

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.

Requirements

• 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 (DataBricks, Snowflake, eg)
• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees