Currently tracking 206 active AI roles, with 444 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $114k–$397k (avg $224k).
| Title | Stage | AI score |
|---|---|---|
| Principal Scientist, Generation Data Architect (Image & Video & Audio) Principal Scientist to shape the data strategy for Adobe Firefly's multimodal foundation models (image, video, audio), focusing on sourcing, curation, and training large-scale visual data to improve generative model quality, controllability, and realism for millions of users. This senior IC role involves cross-functional collaboration with research, engineering, and product teams. | DataPost-train | 9 |
| Principal Scientist - Applied Research, ASML (Multimodal Foundation Models) This role focuses on applied research for multimodal foundation models, specifically concerning the scaling, quality, and innovation of training data across image, video, and audio. The Principal Scientist will guide a team in architecture and training strategies, pioneer data ablations, lead research, optimize distributed training pipelines, and translate research into production models for Adobe's creative tools. |
| DataPost-train |
| 9 |
| Sr. Manager, Applied Science - Generative AI Data Research 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. | DataPost-train | 8 |
| Senior Manager, Applied Science 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. | DataPost-train | 8 |
| Director, Multimodal Data Research 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. | Data | 8 |
| Manager, Applied Science 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. | Data | 8 |
| Machine Learning Engineer 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. | Data | 7 |
| Sr Manager, Machine Learning Engineering 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. | Data | 7 |
| Dir, Machine Learning Eng 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. | Data | 7 |