Machine Learning Engineer
Adobe · San Jose, CA · Engineering and Product
About this role
Adobe is hiring a mid-level Machine Learning Engineer based in San Jose, CA. The posting calls out experience with Python, Express, AWS, GCP. Compensation is listed at $125,600–$234,150 per year.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Jose, CA
- Department
- Engineering and Product
- Posted
- May 19, 2026
More roles at Adobe
Job description
from Adobe careersWe are looking for a Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation, building data pipelines, prototype creation, and operationalization.
The ideal candidate will have a strong background in both classical and deep learning, along with experience developing and deploying production-ready ML and GenAI solutions. If you enjoy shipping impactful, customer-facing features, experimenting with new technologies, and contributing to high-visibility projects with room for creativity and ownership, this role is for you. Our work is dynamic, collaborative, and data-driven.
What You’ll Do
Bring a 0→1 product mindset, helping shape ideas into real, measurable impact.
Design, build, and optimize backend services that power ML and Generative AI features.
Develop, evaluate, and deploy ML models using classical, deep learning, and GenAI approaches.
Contribute to agentic systems and orchestration frameworks that enable intelligent, multi-step reasoning and task automation.
Collaborate with cross-functional teams to integrate ML solutions into production workflows.
Analyze and improve the efficiency, accuracy, and scalability of AI-enabled systems.
Stay up to date with advancements in ML, GenAI, and prompt optimization research.
Mentor junior engineers and help grow the team’s technical depth.
What You Need to Succeed
Required Qualifications