Machine Learning Engineer

Focus: From Research to Product | Digital Video & Audio

Location: Noida / Bengaluru

The Opportunity

Adobe’s Digital Video & Audio group develops some of the most innovative and popular creative tools worldwide. These include Premiere, After Effects, and Audition, available on desktop, mobile, web, and cloud.

AI is fundamentally transforming how creators imagine, produce, and share content. We’re looking for a passionate Machine Learning Engineer who is excited about turning innovative research into intuitive, reliable product experiences used by millions of creators worldwide.

In this position, you will work closely with senior engineers, applied researchers, and diverse collaborators to turn experimental ML prototypes into scalable, production-ready systems. If you enjoy tackling complex machine learning problems in video, audio, and multimodal media — and feel driven by having your innovations incorporated into real products — this is an outstanding chance to create meaningful impact.

You will gain hands-on exposure to production-scale ML systems while directly crafting how AI powers Adobe’s creative ecosystem.

What You’ll Do

• Drive the development of ML-powered features from early-stage research prototypes to robust production deployments.
• Compose, build, and optimize scalable ML pipelines for video understanding, multimodal intelligence, and generative AI applications.
• Implement, experiment with, and fine-tune brand new deep learning models across Computer Vision, Video AI, and Generative AI domains.
• Solve real-world creator challenges involving spatial, temporal, and multimodal data.
• Lead model evaluation, benchmarking, validation, and performance optimization to ensure high quality and reliability.
• Optimize and deploy models across heterogeneous environments (CPU/GPU/NPU), including ONNX and CoreML workflows.
• Improve model efficiency through quantization, pruning, distillation, and inference acceleration techniques.
• Write clean, modular, maintainable, and well-tested production-quality ML code.
• Collaborate cross-functionally with researchers, product managers, designers, and platform engineers to deliver impactful roadmap-aligned features.
• Remain updated on emerging ML techniques and actively integrate innovations into video and media workflows.

What You’ll Need to Succeed

• 5+ years of hands-on experience in Machine Learning, Deep Learning, or related domains.
• Proven experience building, scaling, and deploying ML models in production environments with measurable impact.
• Strong proficiency in PyTorch (preferred) or TensorFlow, and Python-based ML development.
• Solid foundations in mathematical modeling, including Linear Algebra, Probability, Statistics, and optimization theory.
• Deep understanding of core ML principles: model training, validation, generalization, and performance trade-offs.
• Strong grasp of deep learning architectures including CNNs, RNNs, Transformers, and multimodal models. Clear understanding of when and why to apply each architecture for spatial, temporal, or cross-modal tasks.
• Practical experience in computer vision tasks such as object detection, segmentation, tracking, video understanding, or temporal modeling.
• Familiarity with model optimization and deployment techniques including pre/post training quantization, ONNX, CoreML, and edge deployment.
• Understanding of software engineering guidelines including version control (Git), testing frameworks, CI/CD, and code review processes.
• Strong analytical thinking, problem-solving ability, and curiosity to learn in a fast-evolving AI landscape.
• Excellent communication skills and the ability to collaborate effectively within diverse, high-performing teams.

Why You’ll Love This Role

• Develop AI systems that support millions of creators around the world.
• See your ideas move from research to real-world impact.
• Collaborate with world-class engineers and researchers.
• Address significant, large-scale ML challenges in video and media.
• Grow in an environment that values innovation, ownership, and continuous learning.

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.

Adobe aims to make our Careers website and recruiting process 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 +1 408-536-3015. 

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.