Senior Applied Scientist

Our Company

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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!

• Drive data strategy for foundation models: Lead strategy and execution of large-scale multimodal data pipelines (image/video/text/edits), including acquisition, curation, filtering, and synthetic data generation at production scale.
• Develop models for data quality and evaluation: Strategize, train, and evaluate classifiers, scorers, and multimodal evaluators (e.g., VLM-as-judge) to measure, rank, filter, and route data for generative and editing tasks.
• Advance MLLM & Editing FMs: Research, train, and evaluate MLLMs and editing-oriented foundation models that enable creative generation, transformation, and in-product editing workflows.
• Lead cross-functional research projects: Partner with product, infra, and applied science teams to align data-centric modeling strategies with Firefly's model roadmap and evaluation frameworks.
• Innovate, mentor, and influence: Survey and translate frontier research into production systems, mentor junior scientists and engineers, and contribute thought leadership in multimodal data and generative modeling.

What You'll Need to Succeed

• Master's or Ph.D. in Computer Science, Machine Learning, or related field.
• Strong track record of applied research and publications in generative AI, multimodal learning, or data-centric ML.
• Proficiency in Python, PyTorch, and modern ML infrastructure (distributed training, large-scale data systems, cloud pipelines).
• Proven ability to lead complex technical projects across multiple teams, from prototype to scalable deployment.
• Deep understanding of generative models (diffusion, transformers, autoregressive/flow) and data-driven model optimization.
• Excellent communication and collaboration skills, with experience influencing technical direction across stakeholders.

Preferred Experience

• Experience shipping editing-aware models (inpainting, segmentation, compositing, control signals).
• Expertise in data quality modeling, including weak supervision, active learning, and learned quality/relevance scorers.
• Hands-on experience with large-scale multimodal datasets and synthetic data generation pipelines.
• Demonstrated success driving data and model research initiatives from concept to production impact.

#fireflygenai

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

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California:

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Colorado:

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Massachusetts:

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