About the Role

We are seeking an ML Engineer to join the Firefly team within Adobe's Applied Science and Machine Learning (ASML) organization. Firefly is Adobe's family of creative generative AI models, powering next-generation creative experiences across Adobe's product suite. In this role, you will work at the frontier of multimodal AI—starting from foundational models and adapting them for diverse real-world use cases and products. You will design and build novel generation pipelines, bring state-of-the-art research into production, and collaborate closely with research, product, and infrastructure teams to shape the future of AI-powered creativity.

What You'll Do

Foundational Model Development & Adaptation

• Work with large-scale pretrained models for multimodal generation (image, text, video, and beyond) and adapt them to power Adobe Firefly products and features.

• Research, prototype, and integrate state-of-the-art techniques from the latest literature into production-grade generation pipelines.

• Build and optimize novel end-to-end pipelines for multimodal generation, balancing quality, performance, and scalability.

• Experience with controllable generation, LoRA / fine-tuning workflows, or RLHF-based alignment techniques.

Data Strategy & User Workflows

• Partner with data and research teams to evaluate, adapt, and propose improvements to data strategies that support model training and fine-tuning.

• Analyze and iterate on user-facing workflows, translating product requirements into model and pipeline design decisions.

• Contribute to dataset curation, annotation strategy, and evaluation frameworks for generative models.

Technical Excellence & Collaboration

• Participate in design reviews and code reviews, upholding high standards for code quality, architecture, and reproducibility.

• Create and maintain robust technical documentation, design documents, and engineering standards.

• Collaborate with partner teams across ASML and contribute actively to technical roadmaps and cross-functional planning.

• Mentor junior engineers and share knowledge through pairing, code review, and internal technical talks.

What You Need to Succeed

Technical Depth

• 5+ years of industry experience in machine learning engineering, with a strong focus on deep learning for computer vision or multimodal generation.

• Hands-on experience working with large, complex ML codebases and modern ML frameworks such as PyTorch or Tensorflow in production environments.

• Proven ability to build and optimize ML pipelines at scale — from model training and fine-tuning through to inference and deployment.

• Solid understanding of generative model architectures (e.g., diffusion models, transformers, GANs, VAEs) and experience adapting or training them for applied use cases.

• Strong Python proficiency and software engineering fundamentals, including system design, testing, and debugging.

• Experience with distributed training or inference on GPU clusters; familiarity with frameworks such as Slurm or equivalent is a plus.

• Prior experience working in a creative AI or media technology domain.

Domain & Collaboration

• Deep familiarity with multimodal generation workflows — particularly image or video generation — and the ability to rapidly incorporate new techniques from research.

• Demonstrated experience collaborating cross-functionally with research scientists, product managers, and infrastructure engineers.

• Ability to communicate technical trade-offs clearly and contribute meaningfully to roadmap discussions and architectural decisions.

• Comfort with ambiguity and the ability to thrive in a fast-moving research and product environment.

• Experience contributing to technical documentation, design proposals, or engineering standards.

Nice to Have

• Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps tooling.

• Contributions to open-source ML projects or peer-reviewed publications.

Education

• Bachelor's degree in Computer Science, Machine Learning, Electrical Engineering, or a related field required.

• Master's degree or PhD preferred.

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 accommodations@adobe.com 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.