Senior Machine Learning Engineer
Salary: up to $250k base + Equity & Benefits
Location: Bellevue, WA (Hybrid)
We are supporting an innovative AI lab/startup focused on revolutionizing video content creation through cutting-edge machine learning and AI technologies. Their mission is to push the boundaries of video generation, enabling creators and businesses to generate high-quality, dynamic video content faster and more efficiently than ever before.
We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. In this role, you will lead the development and optimization of state-of-the-art machine learning models for video generation, work closely with our research and product teams, and contribute to the creation of scalable AI-driven video solutions. You will play a critical role in designing and deploying systems that will impact the future of video content creation.
Responsibilities
- Design, develop, and implement advanced machine learning models for video generation, incorporating large language models (LLMs) for tasks such as script generation, video narration, and content understanding.
- Collaborate with cross-functional teams to integrate LLMs with video generation models, enabling seamless AI-driven video creation from text-based inputs.
- Optimize existing video generation models and algorithms to improve video quality, performance, and efficiency, while integrating multimodal learning techniques (text, image, and video).
- Work on the full ML lifecycle: data preparation, model training, hyperparameter tuning, deployment, and continuous improvement of video and language models.
- Identify and solve bottlenecks in the video generation pipeline, especially in areas where LLMs and computer vision models intersect.
- Explore and implement innovative techniques for video synthesis, using LLMs to enhance content customization and video storytelling capabilities.
- Contribute to research papers, patents, and product innovations related to LLMs and video generation.
Requirements
- 5+ years of experience in machine learning, with at least 2 years focused on video generation, computer vision, or generative models.
- Strong experience with generative models (GANs, VAEs) for video and image processing, along with a solid understanding of multimodal learning (text, video, and audio).
- Deep understanding of model optimization, fine-tuning pre-trained LLMs, and scaling ML solutions in cloud environments.
- Proficiency in integrating LLMs with video generation workflows, including natural language to video or script-to-video tasks
If this sounds like you, get in touch!