As a Machine Learning Engineer on the Roblox Large Model team, you will play a pivotal role in shaping the future of AI-driven creation. Your responsibilities will revolve around leveraging cutting-edge machine learning techniques to develop multimodal large models capable of serving a diverse set of Roblox use-cases such as content creation, better personalization, improved platform safety, etc

You Will:

• Design and implement machine learning algorithms that can seamlessly operate across multimodal data such as text, images, audio, and others
• Take the lead in researching state-of-the-art techniques, stay on the forefront of multimodal machine learning and contribute back to the community through publications and presentations
• Undertake the critical task of processing multimodal datasets to leverage high-quality input datasets for model training and evaluation
• Leverage generative modeling techniques, including GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) to create rich and expressive generative systems that produce novel, engaging, and aesthetically pleasing content
• Integrate Language Models for natural understanding capabilities, enabling the multimodal models to comprehend and generate content with enhanced linguistic richness
• Keep abreast of ethical considerations and ensuring responsible AI practices in model development
• Communicate with the industry and communities where applicable and be ambassador for Roblox
• Report to the Roblox Large Model team Manager

You Have:

• Worked directly with the ML Infrastructure and Platform teams to identify opportunities to further improve and optimize the tools and solutions that benefit entire Roblox
• In-depth knowledge of deep learning architectures, especially those tailored for generative tasks, and experience with training and fine-tuning such models using frameworks such as Tensorflow, PyTorch, etc
• Built data processing pipelines needed to train and evaluate ML models using frameworks such as Spark, Airflow, Ray, etc
• 5+ years of experience designing and building scalable machine learning solutions
• Bachelor's or Advanced degree in Computer Science, Artificial Intelligence, Data Science or a similar technical field