Research Engineer

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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!

The Research Engineering & Design Lab within Adobe Research is looking for a Research Engineer passionate about the unique challenges involved in evaluating and improving Large Language Model (LLM) and Vision Language Model (VLM), and helping design and build next-generation multimodal intelligence systems. Join our efforts to turn cutting-edge research into new products and features in Adobe's web, desktop, and mobile applications, and expand what's possible in tools for creative expression.

At Adobe Research, you will work closely with both research scientists and engineers at the intersection of computer vision, natural language processing, and generative modeling. You will help create the best media creation and editing user experience using the latest technologies. You will have the opportunity to:

• Play a key collaborative role in ambitious research projects.
• Be valued as a specialist in your domain of expertise.
• Contribute to research that can be applied to Adobe product development.
• Help integrate novel research work into Adobe's product.
• Lead and collaborate on research projects across different Adobe divisions

Your responsibilities will include:

• Large dataset collection and data quality improvements utilizing state-of-the-art VLMs.
• Develop pipelines and evaluation tools to measure model performance on multimodal tasks.
• Help define metrics and evaluation rubrics for generative models.
• Use VLM-based evaluators to judge content generation and editing results, including realism, faithfulness to prompts, spatial consistency, semantic correctness, and safety.
• Iteratively refine and improve VLM judges for specific tasks (e.g., generative model evaluation, multimodal reasoning, editing correctness).
• Work closely with research scientists, engineers, and product teams to support model development.

• M.S. degree in Machine Learning, AI, Computer Science, or related field (or equivalent practical experience).
• Strong programming skills in Python and experience with common ML frameworks.
• Solid deep learning skills, including practical experience in computer vision and natural language processing.
• Strong communication and collaboration skills.
• Experience working with large datasets.
• Familiarity with modern VLMs and LLMs.

Additional Desirable Qualifications

• 3+ years of working experience in the related field.
• Experience with multimodal model evaluation, data annotation pipelines, or generative model assessment.
• Knowledge of prompt engineering and model fine-tuning.
• Knowledge of state-of-the-art machine learning methods for large-scale diffusion and language models.
• Proficiency with web development.

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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Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

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If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

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It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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