Senior Software Engineer, AI Coding Tools at ByteDance, focusing on the TRAE product, an AI software development agent. The role involves designing, training, fine-tuning, optimizing, quantizing, and deploying LLMs for code generation and reasoning capabilities. It requires experience with large-scale distributed training, model optimization techniques, and deployment on GPU clusters.

Research Scientist focused on developing computer vision, NLP, and LLM algorithms for next-generation VR intelligent interaction, including input methods, prediction, error correction, and multimodal fusion. The role involves delivering technical innovations, patents, and research translation, with a focus on lightweight models for VR/edge devices.

Seeking an experienced engineer to optimize large-scale multimodal generative AI model training and inference pipelines, focusing on distributed training strategies and performance bottlenecks for consumer-facing applications like TikTok.

Seeking an experienced Multimodal Model Training and Inference Optimization Engineer to optimize AI model training and inference, including distributed training/inference and acceleration, for large-scale generative AI models. Responsibilities include optimizing training pipelines, developing distributed training strategies, and benchmarking/profiling models.

Seeking an experienced engineer to optimize large-scale multimodal AI model training and inference pipelines, focusing on distributed training strategies, performance benchmarking, and acceleration for generative AI and CV/Multimodal Understanding applications.

ByteDance is looking for an experienced Multimodal Model Training and Inference Optimization Engineer to join their Vision-Applied Research team. This role focuses on optimizing AI model training and inference, including distributed training/inference and acceleration, to enhance the performance, scalability, and deployment of large-scale generative AI models for ByteDance products like TikTok and CapCut. The ideal candidate will have expertise in optimizing AI model training, distributed training strategies, and benchmarking deep learning models.

Research Engineer/Scientist focused on developing efficient algorithms and architectures for large-scale generative and multimodal models, with an emphasis on model distillation, compression, and hardware-efficient inference for applications like image generation, video generation, and VLMs.

Research Engineer/Scientist focused on applied research in Generative AI and CV/Multimodal Understanding, specifically on designing and implementing efficient models for large-scale generative AI through techniques like distillation and compression. The role involves developing methods and infrastructure for transferring capabilities from foundation models into smaller, more efficient models for scalable training, optimization, and deployment, with applications in image generation, video generation, and VLM.

Research Engineer/Scientist focused on applied research in Generative AI and CV/Multimodal Understanding, specifically on designing and implementing efficient models for large-scale generative AI through techniques like distillation and compression. The role involves developing methods and infrastructure for transferring capabilities from foundation models into smaller, more efficient models, enabling scalable training, optimization, and deployment, with applications in image generation, video generation, and VLMs.

Research Scientist role focused on applied research in Generative AI and Computer Vision/Multimodal Understanding, with the goal of delivering intelligent solutions to ByteDance products. The role involves conducting cutting-edge research, transferring advanced technologies, and exploring new AI-centric products, with a focus on generative models for content creation, image/video synthesis, editing, and virtual humans.

Research Scientist role focusing on multimodal understanding, vision and language, large-scale training, and RLHF for intelligent editing within ByteDance's Intelligent Creation Team. The role involves cutting-edge research and transferring technologies to products.

Research and development role focusing on 3D Avatar generative models, involving 3D geometry, texturing, human reconstruction, and animation techniques. Requires expertise in generative modeling for 3D/4D reconstruction/generation, with a Master's degree or above and proficiency in deep learning frameworks.

Research Scientist focused on AI security, investigating threats like adversarial attacks and model tampering, and developing mitigation strategies for NLP and computer vision models. Requires experience in AI/ML security research and programming skills.

Research role focused on developing AI imaging algorithms and perceptual metrics for AR/VR products, applying perception sciences, and designing eye-tracking features. Requires advanced degree, 5+ years experience, strong background in statistics, optimization, machine learning, and computational modeling, with experience in psychophysics and user studies.