Deskripsi Pekerjaan
ByteDance is looking for a Large Model Algorithm Engineer Intern (Data Model) to join our pioneering Data Model team in Singapore. In this role, you will work on the frontlines of AI innovation, focusing on the application and implementation of large-scale models that power next‑generation data intelligence solutions.
You’ll collaborate closely with a multidisciplinary team of researchers, engineers, and product managers to design, build, and optimize pipelines that handle massive datasets, train large language models, and deploy them at scale. Your responsibilities will include experimenting with state‑of‑the‑art architectures, evaluating model performance, and contributing to best‑practice guidelines for model reliability and efficiency.
This internship offers a unique opportunity to apply your PhD‑level expertise to real‑world challenges, accelerate your career in AI research, and make an impact on products used by millions worldwide.
Based in Singapore, you will enjoy a vibrant tech ecosystem, competitive internship compensation, and mentorship from leading AI experts at ByteDance. The role is based at our modern office in the heart of the city, providing easy access to public transport and a dynamic professional community.
ByteDance is committed to fostering an inclusive environment where diverse perspectives are valued. As part of our team, you will have opportunities to attend internal tech talks, workshops, and cross‑team collaborations that enhance your learning and professional growth.
Tanggung Jawab
- Design and implement large‑scale data pipelines for model training and inference.
- Develop, fine‑tune, and evaluate large language models using frameworks such as TensorFlow and PyTorch.
- Optimize model performance, throughput, and resource utilization on distributed computing environments.
- Collaborate with cross‑functional teams to integrate AI solutions into ByteDance’s data intelligence ecosystem.
- Conduct rigorous experiments, analyze results, and iterate on model architectures to improve accuracy and robustness.
- Document research findings, write technical reports, and present insights to stakeholders.
- Stay up‑to‑date with the latest advances in AI/ML and recommend innovative approaches for future projects.
Kualifikasi
- Currently enrolled in a PhD program in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong background in deep learning, natural language processing, and large‑scale model training.
- Proficiency in programming languages such as Python, C++, or Java; experience with ML frameworks (TensorFlow, PyTorch, JAX).
- Hands‑on experience with distributed training, model optimization, and data pipeline development.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
- Strong communication skills and ability to articulate complex technical concepts to non‑technical audiences.
- Prior research experience (publications, patents, or open‑source contributions) is a plus.