Sr Machine Learning Engineer

Adobe is at the forefront of the AI and GenAI revolution. We build Foundational Models for Creativity, crafted for commercial use, and trained on data from Adobe Stock. These models are smoothly coordinated into our products. We are seeking a dynamic and visionary technical leader to lead the Digital Video Audio (DVA) team. In this role you will be responsible for leading the development and maintenance of new and existing Video/Audio Models serving our powerful Video and Audio Products. In this position, you will have the opportunity to shape Digital Video Audio (DVA) strategy and influence product development not only in India but also on a global scale. Your Technical leadership will be instrumental in propelling Adobes mission to empower creativity for all. Are you passionate about the GenAI space and obsessed over the latest technical breakthroughs and trends? This is the position for you helping to lead our team into the technological future!

What Youll Do

• Lead the design, implementation, optimization of deep learning models for Production applications.
• Apply innovative algorithms in areas such as computer vision, image/video processing, and generative models to solve complex business problems.
• Collaborate with Product Teams and Researchers to align machine learning Projects with business goals.
• Guide technical decision-making and define standard approaches for model development and training pipelines to achieve business goals.
• Mentor and guide junior engineers and researchers, fostering a culture of continuous learning and improvement with the team. Contribute to research and development efforts, staying up to date with the latest advancements in deep learning and machine learning.
• Develop and optimize model inference pipelines for both on-device and cloud-based deployments.
• Communicate complex technical concepts to partners and team members and provide actionable insights based on model outputs.

What Youll Need to Succeed

• 12+ years of hands-on experience in machine learning, with at least 5 years focused on deep learning techniques.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Solid understanding of neural networks, CNNs, RNNs, transformers, GANs, and diffusion Models.
• Hands-on Deep Learning with Python-based Frameworks with Computer Vision Knowledge.
• Proven experience working with large-scale datasets, model training, optimization, and deployment.
• Strong background in developing algorithms for practical applications in computer vision.
• Proficiency in Python and familiar with modern software engineering practices such as version control (Git), CI/CD, and agile development.
• Expertise in model optimization, including techniques like pruning, quantization, and ONNX/CoreML model conversion.
• Familiarity with MLOps practices, model versioning, and reproducibility. Strong problem-solving skills, with the ability to think critically and implement effective solutions.
• Excellent communication skills and experience in presenting technical content to senior customer