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Research Engineer- Foundation Model AI Platform- San Jose

ByteDance
San Jose
Full-time

ResponsibilitiesEstablished in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models.

We aim to do world-leading research and foster both technological and social progress.With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation.

It has labs and researcher roles in China, Singapore, and the US. Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities.

In the Chinese market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine.

The Doubao app is the most used AIGC app in China. Why Join UsCreation is the core of ByteDance's purpose. Our products are built to help imaginations thrive.

This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo?

Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us. About the TeamWelcome to the GAI-Vision team, where we spearhead multi-modality foundation models on visual understanding and visual generation.

Our mission is to solve the visual intelligence problem for AI. We conduct cutting-edge research on areas like vision and language, large vision models, and generative foundation models.

The team is a mix of experienced research scientists and engineers, aiming to advance the research boundaries in foundation models and apply our technologies to our rich application scenarios, whereas a feedback loop is created to help further improve our foundation technologies.

Join us in shaping the future of AI technologies and revolutionizing our product experience for global users. Responsibilities-Creating AI engineering infrastructure from end to end for large model development-Training inference acceleration and deploymentQualificationsMinimum Qualifications : - Research and engineering experience in one or more areas of computer vision and natural language processing, including but not limited to- Work and collaborate well with team members.

  • Ability to work independently; Strong communication skills. Preferred Qualifications : - Experience in multi-modal understanding, vision and language, such as video captioning, VQA, Text-to-video retrieval, and other related topics.
  • Work with very large-scale datasets, and build very large-scale datasets to scale up foundation models.- Experience with language models and apply them in various downstream tasks.
  • candidates with publications in top-tier venues such as CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, EMNLP, ACL, COLING, etc- Highly competent in algorithms and programming;

Strong coding skills in Python and popular deep learning frameworks. 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. ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws.

If you need assistance or a reasonable accommodation,

30+ days ago
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