Machine Learning Engineer 5 - AI Foundation - Image domain

As an Individual Contributor at P50 level at Adobe Express, you will have the opportunity to develop cutting-edge ML models, platforms, and services, covering the entire ML lifecycle. Joining the AI Foundation Team, you will work towards developing a groundbreaking AI stack using internal and external technologies to enhance feature speed and quality, ultimately improving user experience at Adobe Express. Your responsibilities will include researching, designing, and implementing advanced ML models and pipelines for training and inference at scale. This will involve utilizing techniques in computer vision, NLP, deep learning, and generative AI. Additionally, you will integrate Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows, enabling context-aware content generation and dynamic user experiences. Collaborating with cross-functional teams, you will translate product requirements into ML solutions, iterating from proof-of-concept to fully productionized services. Your role will also involve developing robust platforms for continuous model training, experimentation, A/B testing, and monitoring, ensuring high model quality and relevance. Leveraging distributed computing technologies and cloud infrastructures will be essential for handling large-scale data processing, feature engineering, and real-time inference, optimizing for performance and cost-efficiency. Furthermore, you will implement reliable APIs and microservices that serve ML models to end users, ensuring alignment with standard methodologies in security, compliance, scalability, and maintainability. It will be crucial to stay updated on emerging ML research, tools, and frameworks, evaluating and integrating new technologies such as sophisticated LLMs, reinforcement learning-based agents, and innovative inference optimization techniques. In the near future, the team plans to expand model coverage to include more creative tasks, improve model architectures for better latency and accuracy, and integrate federated learning or domain adaptation strategies to reach diverse audiences. To be successful in this role, you should hold a PhD, Masters, or Bachelors in Computer Science or a related technical field, with 14+ years of industry experience. Proficiency in Python and Java for ML model development, hands-on experience with TensorFlow and PyTorch, as well as expertise in computer vision and NLP techniques are required. Experience in developing and deploying RESTful web services and microservices architectures, along with proficiency in UNIX environments, Git, and Jenkins, will be beneficial. At Adobe, we celebrate creativity, curiosity, and continuous learning as essential components of your career growth journey. We are excited that you are considering a new opportunity with us, and we look forward to your potential contributions to our innovative team. Join us at Adobe and immerse yourself in an exceptional work environment where feedback flows freely and colleagues are dedicated to helping each other grow. If you are seeking to make a meaningful impact, Adobe is the place for you!,