Currently tracking 30 active AI roles, up 136% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $112k–$277k (avg $189k).
| Title | Stage | AI score |
|---|---|---|
| Sr Staff R&D Engineer This role leads the research, design, and implementation of AI/ML technologies for audio intelligence in media production. The engineer will architect, build, and optimize machine learning systems, focusing on speech processing, style transfer, source separation, and generative audio synthesis. Responsibilities include driving scalable training pipelines, developing generative models, managing the end-to-end model lifecycle, and collaborating on integration into a SaaS environment. | Post-trainServe | 9 |
| Sr Data Scientist Senior Data Scientist role focused on designing, developing, and deploying advanced NLP, multimodal ML, and LLM solutions for content understanding use cases across Disney+, Hulu, and ESPN+. Responsibilities include building and adapting models for classification, similarity, retrieval, and enrichment, fine-tuning foundation models, and optimizing training/inference workflows. Requires strong Python, deep learning framework experience, and production ML systems knowledge. |
| Post-trainServe |
| 8 |
| Production Innovation Technologist (PH) Seeking a Production Innovation Technologist with expertise in advanced 3D compositing and generative technologies. This role involves designing, training, and fine-tuning models (e.g., LoRA, IP adapters, Gaussian Splatting) to solve production-scale challenges, evaluating new ML approaches, and integrating these into existing pipelines. The technologist will act as a senior technical authority, translating creative objectives into production-ready solutions and collaborating with ML Engineers to bridge research and production. | Post-trainServe | 7 |
| Principal Software Engineer Principal Software Engineer to conduct multidisciplinary research and development in video streaming for live and on-demand use cases, focusing on optimizing media processing, developing quality and performance assessment frameworks, and conducting innovative media R&D. The role involves applying advanced computer vision algorithms and ML/AI techniques to media enhancement, understanding, analysis, and compression, influencing codebases, driving technical standards, and leading complex projects. | Post-trainServe | 7 |
| Lead Data Scientist, Content Intelligence Lead Data Scientist role focused on developing and deploying AI/ML techniques to understand media content. The role involves conceptualizing and co-developing AI/ML solutions, prompt engineering, evaluation of VLM outputs, developing evaluation metrics for temporal tasks, bridging experimentation and production, establishing best practices for generative and non-generative AI/ML, and experimenting with techniques like PEFT, Quantization, and Vector embeddings for media retrieval. It requires proficiency in Python, deep learning frameworks, LLM prompting and fine-tuning, and cloud platforms. | Post-trainAgent | 7 |