Adobe

Sr. Manager for Generative AI Data Research at Adobe, leading a team to build multimodal datasets for foundation model training. Focuses on data acquisition, filtering, curation, and pipeline development, with a strong emphasis on system design and applied ML workflows.

This role leads a distributed team focused on Generative AI for Adobe Firefly Foundry, an enterprise-grade managed service. Responsibilities include defining strategy for data acquisition, processing, and quality, enabling multi-modal content generation, and building scalable data, pre-training, and post-training pipelines. The role requires deep understanding of ML data lifecycles, expertise in data quality and governance, and proficiency with cloud technologies, with a focus on ethical AI practices and leading a team through the full ML model lifecycle from research to customer impact.

Director to lead Multimodal Data Research organization responsible for scaling, quality, and innovation in multimodal training data (image, video, audio) for Adobe Firefly's foundational generative and editing models. The role involves setting vision, leading multiple senior teams, and orchestrating execution across data ingestion, filtering, captioning, generation, editing-centric datasets, and data-driven training experiments.

Manager for a team building core systems that support training and development of foundation models for generative AI (image, video, multimodal). Focus on foundational training frameworks, tooling, and codebases for large-scale experimentation, reliable execution, and rapid iteration. Requires strong software engineering, systems experience, and applied ML understanding.

Machine Learning Data Engineer at Adobe focused on building foundational infrastructure for large-scale multimodal AI training and inference. The role involves developing distributed data loaders, feature enrichment pipelines, and dataset management systems to support foundation model training at petabyte scale, processing billions of multimodal assets.

This role is for a Manager of Applied Research focused on leading and growing a team responsible for training data for Adobe's enterprise generative AI service, Firefly Foundry. The responsibilities include defining and executing strategy for acquiring, processing, curating, annotating, versioning, and ensuring the quality of large-scale datasets, building scalable data pipelines, and collaborating with researchers and ML engineers. The role requires strong leadership, deep understanding of ML data lifecycles for generative models, and expertise in cloud data technologies.

Director of Machine Learning Engineering to lead a team in evolving a data platform to support AI/ML innovation, focusing on big-data management and compute abstractions within a governed trust framework.

This role focuses on building and maintaining BI solutions using Power BI and Databricks, including data models, semantic layers, and dashboards. It involves developing ELT/ETL pipelines, optimizing DAX, and integrating AI/Gen AI features into reporting and analytics workflows. The role also requires Python scripting for data transformation and automation, supporting ad-hoc requests, and evaluating new technologies.

Lead Data Engineer role focused on evolving a data platform to support analytics, reporting, machine learning, and generative AI use cases. The role involves designing and developing scalable data pipelines, ETL/ELT processes, and data platforms, re-architecting data models for AI-readiness, and enabling AI-enabled workflows. Collaboration with data scientists and AI/ML teams is key to building scalable, AI-ready data systems.

Senior Data Engineer at Adobe, responsible for building scalable data pipelines and applications that incorporate Generative AI and LLMs, blending structured and unstructured data. The role requires expertise in Spark, Databricks, Python, and SQL, with practical experience in AI/ML technologies and cloud platforms.

Internship role focused on software engineering with exposure to Data Science and Machine Learning/AI. The intern will work on real projects, contribute code, and explore datasets and ML models to support data-driven decisions. The role is based in Basel, Switzerland, with a hybrid schedule.

Data Engineer at Adobe in Bangalore, focusing on designing, developing, and deploying data systems and pipelines, including those for LLM workflows. The role involves architecting data models, partnering with cross-functional teams, and ensuring data quality and integration with ML models.

Senior Data Science Engineer at Adobe focused on developing and implementing models, improving data platforms, and analyzing large datasets. Requires strong expertise in ML, data mining, and big data technologies.

Senior Software Development Engineer focused on Big Data and Spark for Adobe Experience Platform. The role involves developing modern data architectures, Big Data and Lakehouse solutions, and implementing them into production. It blends data infrastructure, AI workflows, and multi-cloud technologies to drive real-time customer intelligence, handling petabytes of data with high fidelity and velocity, and supporting data science and data governance initiatives.

Senior Software Engineer role focused on building modern data architectures and Big Data/Lakehouse solutions for Adobe Experience Platform, driving real-time customer intelligence with a blend of data infrastructure, AI workflows, and multi-cloud technologies. The role emphasizes production delivery, performance optimization, and leveraging AI coding agents.