Lead ML Software Development Engineer

About Us

Changing the world through digital experiences is what Adobe's all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity

We are the market leader in software products and services for the creative & marketing ecosystem with Creative Cloud, Document Cloud, Express, Firefly and Experience Cloud.

Adobe has made industry‑leading progress in addressing the enterprise need for new, scalable ways to create ideas and assets with GenAI‑infused workflows and products. Adobe Digital Media's recent launch of GenAI‑powered products for enterprises includes Firefly Services (APIs), Firefly Custom Models, Object Composites, Style Kits and unique AI features within flagship products like Adobe Photoshop, Express and Adobe Gen Studio.

We are looking for an outstanding senior full‑stack engineer to research, design, develop and deliver high‑profile products that span GenAI features and customization of GenAI Firefly models to empower the next generation of enterprise creators and marketers everywhere by turning creative intent into creative success. While implementing this far‑reaching strategy, we are focusing on using product‑driven development to drive rapid iteration and to continuously deliver measurable impact.

Thrives in startup setting, prioritizes customer happiness, delivers outstanding experiences, completes tasks consistently, and meets high‑quality bar.

You will be joining a highly collaborative engineering team working closely with internal product teams and partners. You should have a user‑centric, meticulous approach, invite constructive collaboration, and always work with a bias towards action. Most importantly you should be able to drive and solve complex problems, have a deep empathy for customers, and deliver tangible results in a team‑oriented culture.

What You'll Do

• Write architecture and design specs for product/feature/prototypes for innovative Firefly Enterprise applications.

• Develop and maintain production‑quality features with rich user experience, user‑centric prototypes and/or solutions to streamline customer workflows in an enterprise environment.

• Partner closely with product management, UX design, program management, business development and partners to create requirements and use cases.

• Constantly explore, evaluate and integrate new technologies and translate ideas into interactive prototypes.

• Engage with customers to solve, debug, and drive fixes to problems, A/B test solutions, and ensure proper communication on customer critical issues.

• Expand your knowledge and skills to stay ahead of the latest development, test, and deployment methodologies.

What You Need to Succeed

• 10+ years of full‑cycle experience developing interactive web applications and web service stack.

• B.S. or higher in Computer Science, or equivalent experience.

• Well established practice of building and deploying web applications or interactive sites using the latest web technologies.

• Proven ability in developing software solutions using Type Script/JavaScript, React

JS/Web components, state management and bundlers/transpilers.

• Experience in developing server‑side web services using Java, NodeJS, and other emerging technologies.

• Experience with Test‑Driven Development (TDD).

• Ability to communicate and influence (verbal/written) clearly to solve complex issues.

• Creative mindset to evaluate competing products and methodologies to stay ahead.

• Good to have ML engineering experience.

• Experience in Machine Learning (ML) application development and leveraging existing technologies. This position bridges the gap between ML research and productization,…