Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this Staff Machine Learning Engineer role.
Rezi rewrites your resume against Adobe's job description. Free.
Tailor your resume to this Staff Machine Learning Engineer role.
Rezi rewrites your resume against Adobe's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Staff Machine Learning Engineer posting at Adobe — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Staff Machine Learning Engineer posting at Adobe — free, in seconds.
About the Role
Join Adobe’s Brand AI Services team to define the future of AI-powered creativity. You will design and deliver production-grade generative and agentic AI systems powering Adobe Firefly AI Assistant and experiences across Creative Cloud, Adobe Express, GenStudio, and more. This high-impact role focuses on building the next generation of AI experiences for millions of creative professionals.
Responsibilities
- Lead the design, development, and deployment of multimodal and generative AI systems spanning vision, language, and other modalities.
- Build and productionize generative AI models and systems, including transformers, diffusion models, LLMs, and vision-language models (VLMs), for content creation, understanding, and transformation.
- Develop and build agentic AI systems that can reason, use tools, interact with models and services, and complete complex multi-step creative workflows.
- Build intelligent capabilities for Firefly AI Assistant and Creative Cloud workflows, helping creative professionals move from intent and ideas to high-quality creative outcomes.
- Develop scalable services and APIs that integrate AI and machine learning capabilities into Adobe products.
- Drive the end-to-end ML lifecycle, including problem formulation, modeling, experimentation, evaluation, deployment, monitoring, and iteration.
- Partner with engineering, product, design, and research teams to translate customer needs into effective ML solutions.
- Improve the performance, scalability, reliability, and quality of AI systems operating in high-traffic production environments.
- Provide technical leadership, mentor engineers, and help raise the engineering and machine learning bar across the team.
- Identify new opportunities to apply generative and agentic AI to real-world challenges for creative professionals and enterprise customers.
Requirements
- MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
- 5+ years of experience building and deploying machine learning systems in production.
- Hands-on experience designing and building agentic AI systems, including areas such as tool use, agent orchestration, multi-step workflows, planning and reasoning, retrieval, memory, or human-in-the-loop systems.
- Experience with agent interoperability and tool integration, including Model Context Protocol (MCP), function/tool calling, or similar frameworks and protocols.
- Expertise in computer vision, generative AI, and/or multimodal machine learning, with hands-on experience using modern architectures such as transformers, diffusion models, LLMs, or VLMs.
- Solid foundation in probability, statistics, machine learning, and model evaluation.
- Proficiency in Python and experience with machine learning frameworks such as PyTorch.
- Experience designing and building scalable APIs, distributed services, or production ML infrastructure.
- Strong software engineering fundamentals, including data structures, algorithms, testing, code quality, and code reviews.
- Experience with cloud platforms such as AWS or Azure and containerization and orchestration technologies such as Docker and Kubernetes.
- Familiarity with modern AI-assisted development tools and workflows, including systems such as ChatGPT, Claude, Cursor, or similar tools, and experience using them for development, experimentation, or productivity.
Skills
- Computer Vision
- Generative AI
- Multimodal Learning
- Agentic AI
- Transformers
- Diffusion Models
- LLMs
- VLMs
- Python
- PyTorch
- APIs
- Distributed Services
- Production ML Infrastructure
- AWS
- Azure
- Docker
- Kubernetes
- AI-assisted development tools
Location
- U.S.
Work Type
- Full-time
Experience Level
- Staff
- 5+ years
Education Level
- MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
Salary/Compensations
- U.S. pay range: $172,500 -- $306,625 annually
- California pay range: $211,800 - $306,625
Benefits
- Comprehensive benefits programs
About the Company
- Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences.
- Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
- Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth.
- We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact.
- At Adobe, we believe that great ideas can come from anywhere in the organization.
- Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Equal Opportunity
- Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.
- Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
- If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
- It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.