Posted:
8/4/2026, 9:32:56 PM
Location(s):
Bengaluru, Karnataka, India ⋅ Karnataka, India
Experience Level(s):
Junior ⋅ Mid Level
Field(s):
AI & Machine Learning ⋅ Software Engineering
Workplace Type:
On-site
Pay:
$119k–$310k/yr
The Opportunity
We are building AI agents that handle the marketing supply chain, the path a campaign takes from brief to launch. As a Machine learning engineer, you will build and ship core parts of the agent system, including tool integrations, agent workflows, retrieval, and the data and evaluation pipelines that keep agents fast and reliable in production. You will work on well-scoped problems with real ownership and learn quickly alongside a senior team.
What you'll do
What you need to succeed
Nice to have
About the team
This is a new team inside Adobe's GenAI organization, building AI agents for the marketing supply chain. Today, getting a campaign from brief to launch means a long series of manual handoffs: briefing, creative production, asset management, review, brand and compliance checks, localization, publishing, and performance analysis. Our agents take on that work so people can focus on strategy instead of running every step by hand.
The team is small and senior, the products reach a large customer base, and the work is hands-on and applied. We move quickly and we care about the quality of what we ship.
About Adobe
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. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. 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.
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. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected] or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Website: https://www.adobe.com/
Headquarter Location: San Jose, California, United States
Employee Count: 10001+
Year Founded: 1982
IPO Status: Public
Last Funding Type: Venture - Series Unknown
Industries: Artificial Intelligence (AI) ⋅ Consulting ⋅ Enterprise Software ⋅ Graphic Design ⋅ Image Recognition ⋅ Photo Editing ⋅ SaaS ⋅ Software ⋅ UX Design ⋅ Web Design
Visa Sponsorship: Sponsors work visas