The Opportunity

We are seeking a Senior ML Engineer to join the Firefly team within Adobes Applied Science and Machine Learning (ASML) organization. Firefly is Adobes family of creative generative AI models that power next-generation creative experiences across Adobes 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 youll 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 Bachelors degree in Computer Science Machine Learning Electrical Engineering or a related field or equivalent experience is required.

• Masters 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. Adobes 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 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. Were 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.

Lets Adobe together

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