The Opportunity
We are seeking a Senior 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 that power next-generation creative experiences across Adobe's products. In this role, you will work at the frontier of multimodal AI by starting from foundational models and adapting them for various real-world use cases and products. You will develop and build innovative generation pipelines, bring powerful research into production, and collaborate closely with research, product, and infrastructure teams to invent the future of AI-powered creativity.
What you'll Do
Foundational Model Development & Adaptation
Engage with large-scale pretrained models for multimodal generation (image, text, video, and beyond) and tailor them to support Adobe Firefly products and features.
Research, prototype, and integrate brand-new techniques from the latest literature into production-grade generation pipelines.
Construct and refine innovative end-to-end pipelines for multimodal generation, balancing quality, performance, and scalability. Data Strategy & User Workflows
Work alongside data and research teams to review, modify, and recommend 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 build decisions.
Contribute to dataset curation, annotation strategy, and evaluation frameworks for generative models.
Technical Excellence & Collaboration
Participate in build reviews and code reviews, upholding high standards for code quality, architecture, and reproducibility.
Build 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.
Practical experience handling extensive, intricate ML codebases and current ML frameworks like PyTorch or Tensorflow in live settings.
Demonstrated experience in constructing and refining ML pipelines on a large scale — covering model training and fine-tuning all the way through 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 build, testing, and debugging.
Experience in distributed training or inference on GPU clusters; knowledge of frameworks like Slurm or similar is an advantage. Domain & Collaboration
Extensive knowledge of multimodal generation workflows — especially image or video generation — and the capability to quickly adopt new methods 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 paced research and product environment.
Experience contributing to technical documentation, development proposals, or engineering standards. Nice to Have
Experience with controllable generation, LoRA / fine-tuning workflows, or RLHF-based alignment techniques.
Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps tooling.
Prior experience working in a creative AI or media technology domain.
Contributions to open-source ML projects or peer-reviewed publications. Education
A Bachelor's degree in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent experience, is required.
Master's degree or PhD, or equivalent experience, 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.
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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 .