Large Language Model Algorithm Engineer, Volcano Ark

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.
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About the Team
AML is ByteDance's machine learning platform, serving as the middle platform for machine learning. It provides training and inference systems for recommendation, advertising, computer vision (CV), speech, and natural language processing (NLP) for businesses such as Douyin, Toutiao, and Xigua Video. AML offers powerful machine learning computing resources to internal business departments, conducting research on algorithms that are both universal and innovative in addressing issues in these businesses. Additionally, through the Volcano Engine, AML provides core capabilities of some machine learning and recommendation systems to external enterprise clients. Moreover, AML engages in cutting-edge research in fields like AI for Science and scientific computing.

Volcano Ark is a large language model (LLM) service platform launched by Volcano Engine, offering comprehensive functionalities and services such as model training, inference, evaluation, and fine-tuning, with a focus on supporting the LLM ecosystem. Volcano Ark, through a stable and reliable security and mutual trust solution, ensures the security of models provided by model providers and the information security of model users. It accelerates the penetration of large model capabilities into various industries, contributing to the commercial growth of model providers and users.

Responsibilities:
- Contribute to the advancement of next-generation artificial intelligence technologies, including large models, multimodal capabilities, text comprehension, generation algorithms, and reinforcement learning within the context of Volcano Ark.
- Focus on and drive the practical application of relevant technologies in business scenarios, including but not limited to knowledge base question-answering, voice assistants, Text2Code, summarization and instruction extraction, role-playing, intelligent content creation, etc.
- Conduct in-depth tracking and research on cutting-edge technologies in large models and related areas, including but not limited to NLP (Natural Language Processing), CV (Computer Vision), multimodal capabilities, and embodied intelligence.

Qualifications

Minimum Qualifications
- Bachelor's degree or above in Computer Science, Engineering or equivalent is preferred, with 1+ years of experience building scalable system;
- Excellent coding skills, a solid foundation in data structures and algorithms, and familiarity with deep learning frameworks such as PyTorch.
- Experience in the fields of natural language processing, computer vision, video understanding, reinforcement learning, etc., is preferred.

Preferred Qualifications
- In the large model field, preference will be given to those who have led impactful projects or published influential papers. Priority will be given to those with experience in pre-trained models and downstream applications in NLP, CV, video, etc.
- Preference will be given to candidates with publications in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, KDD, etc.), relevant internship experience, or ACM competition winners.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.