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Lead Applied ML Research Engineer - Video AI

Lead Applied ML Research Engineer - Video AI

Posted 82 days ago

Job Description

This job posting has expired and no longer accepting applications.

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

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 Opportunity

Adobe is the market leader in software products and services for the creative & marketing ecosystem with Creative Cloud, Document Cloud, Express, Firefly, and Experience Cloud. We've made industry-leading progress in GenAI, recently launching Firefly Services (APIs), Firefly Custom Models, and AI-powered features within flagship products like Photoshop, Express, and Adobe GenStudio.

We're looking for an exceptional Applied ML Research Engineer to advance our video AI capabilities—including video understanding, intelligent reframing, content analysis, and multimodal processing. You'll research, design, and deploy GenAI features that empower enterprise creators and marketers to transform creative intent into exceptional video content at scale.

As an Applied Research Engineer, you'll bridge cutting-edge research and real-world applications, shaping the Intelligence Layer that powers GenAI features for enterprises worldwide. You'll join a highly collaborative team working with internal product groups and strategic partners to solve complex AI challenges and deliver tangible results.

What you'll do

Research, train, and deploy state-of-the-art ML models for video understanding, video reframing, temporal analysis, and audio-visual processing
Build multimodal AI systems that combine vision, language, and audio to enable intelligent video editing and content creation workflows
Develop video-specific AI features such as automated scene detection, object tracking, style transfer, and content-aware cropping/reframing
Leverage LLMs and vision-language models to analyze complex video data and extract actionable insights
Build and optimize agentic AI workflows that enable dynamic user interaction with video AI systems
Develop scalable evaluation frameworks to assess accuracy, robustness, and usability of video AI models
Partner with product, UX, and business development teams to translate video AI innovations into enterprise-grade features
Collaborate with Adobe Research to explore emerging video AI technologies and transform research into interactive prototypes

What you need to succeed

B.S. or higher in Computer Science, Engineering, Mathematics, or related field
8+ years of hands-on experience building and deploying ML models inproduction
Strong expertise in video understanding, computer vision, or multimodal AI (video + language/audio)
Demonstrated experience training, finetuning, and optimizing large-scale models (LLMs, vision transformers, video models)
Proficiency in Python and deep knowledge of ML frameworks (PyTorch, TensorFlow, etc.)
Track record of delivering impactful, production-grade AI solutions
Excellent problem-solving skills and ability to thrive in a fast-paced, collaborative environment
Passion for pushing the boundaries of what's possible with video AI

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $172,500 -- $306,625 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $211,800 - $306,625

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.

State-Specific Notices:

California:

Fair Chance Ordinances

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

Colorado:

Application Window Notice

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:

Massachusetts Legal Notice

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.

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 applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com 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 (408) 536-3015.

This job posting has expired and no longer accepting applications. Please check out our latest AI jobs.