Job Overview:
We are Generative AI team under Monetization Technology. Our team focuses on developing cutting-edge Generative AI techs across all modalities, including text, image, videos, landing pages, etc., and creates industry-leading technical solutions to improve creative efficiency for advertisers, agencies and creators. We are committed to automated creative workflows by leveraging Generative AI technologies, to increase overall revenue for advertisers, agencies and creators.
We aim to drive and lead the generative AI in the ads tech and creative industry, powering products and driving values for our clients, creators, and the whole ecosystem. We are looking for ML engineers who are excited to grow their business understanding, build highly scalable and reliable software/infrastructure, partner across functions with global teams, and make big impacts. If you are someone who welcomes challenges, we are eager to have you on the team!
Responsibilities:
- Develop and implement AI-driven applications for text-to-image and text-to-video transformations to support diverse content generation needs.
- Design and enhance robust multi-GPU systems for the efficient training and deployment of large-scale generative models.
- Work closely with cross-functional teams to improve the platforms that support our AI models, focusing on performance optimization and reduction of latency in model training and deployment.
- Stay updated with the latest industry and academic developments in generative AI to integrate state-of-the-art technologies and methodologies into our operations.
Requirements:
- Bachelor’s degree or higher in Computer Science, Signal Processing, Electronic Engineering, or related fields.
- Proficient in deep learning frameworks (such as TensorFlow, PyTorch) with experience in building complex audio generation models.
- In-depth understanding of audio signal processing, music theory, and acoustic principles.
- Ability to read and understand English scientific literature and stay highly informed on the latest research developments in audio technology.
- Deep understanding and practical experience in AIGC audio technology, SUNO, Stable Audio, particularly in audio generation and processing technologies, with a preference for those familiar with machine learning and deep learning algorithms.
- Extensive experience with Qwen Audio, and clear understanding of tasks related.
