Machine Learning Engineer

Machine Learning Engineer at Adobe developing ML and Generative AI features. Collaborating with teams to create impactful customer-facing solutions.

Posted 5/24/2026full-timeSan Jose • California, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $125,600 - $234,150 per yearWebsite

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

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.

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.

Comp & perks

ATS Keywords

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Hard Skills & Tools

machine learning engineeringPythonsystem designclean architecturetestingCI/CDversion controlcode reviewclassical MLdeep learning

Soft Skills

communication skillstechnical leadershipmentoringcollaboration

Certifications

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