Senior Machine Learning Engineer

Adobe

Senior Machine Learning Engineer developing impactful AI solutions for Adobe's innovative products. Involves system design, ML model evaluation, and team collaboration.

Posted 5/24/2026full-timeSan Jose • California, Washington • 🇺🇸 United StatesSenior💰 $151,800 - $265,350 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
5+ years of experience in machine learning engineering, applied research, or production ML systems.
Strong Python software engineering skills, including system design, clean architecture, testing, CI/CD, version control, and code review best practices.
Experience taking ML-powered features from 0→1 through production and ongoing iteration.
Hands-on experience deploying and monitoring ML models in production environments.
Experience designing or contributing to agentic architectures and multi-agent orchestration systems.
Strong understanding of classical ML, deep learning, and modern Generative AI techniques.
Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable ML deployment.
Solid foundation in data structures, algorithms, and distributed system design.
Comfortable leveraging AI coding agents to accelerate development workflows.
Excellent communication skills and demonstrated technical leadership experience.
Experience with Generative AI systems, prompt optimization frameworks, and LLM-as-a-judge / evaluation methodologies (preferred).

Benefits

Comp & perks

comprehensive benefits programs

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learning engineeringPythonsystem designclean architecturetestingCI/CDversion controlcode reviewclassical MLdeep learning

Soft Skills

communication skillstechnical leadershipmentoring

Certifications

Master’s in Computer SciencePh.D. in Machine Learning