Software Engineer, Machine Learning Platform
Listed on 2026-01-12
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Software Development
Machine Learning/ ML Engineer, Software Engineer, AI Engineer, Data Scientist
Software Engineer, Machine Learning Platform Team Intro
The Byte Dance Seed Large Model Machine Learning Platform team was established in 2023, aiming to develop industry‑leading large model technology and become a world‑class platform engineering team that contributes to technological and societal advancement. The Seed Large Model Machine Learning Platform team has a long‑term vision and commitment in the Large Model field, dedicated to building a first‑class infrastructure for large model platforms.
The team has R&D groups in China, Singapore, the United States. The platform offers functions such as data management, model training, model evaluation, model inference, and model management. The platform's R&D team closely collaborates with business teams, supporting the development of large models for various business scenarios within the company, including Seed, commercialization, and advertising.
- Responsible for developing Byte Dance's machine learning platform to support algorithm production and efficient iteration for related company businesses.
- Design and implement machine learning infrastructure, frameworks, tool chains, etc., and drive their integration into business applications.
- Explore cutting‑edge machine learning technologies to continuously enhance platform capabilities and reduce algorithm usage costs.
Minimum Qualifications
- Basic understanding and familiarity with large language models, multimodal models, intelligent agent technologies, and the deployment processes associated with large models.
- Proficiency in Python and/or Go programming, with strong coding practices and effective code management skills.
- Familiar with foundational server‑side technologies, including but not limited to HDFS, Ray, and message queues, along with the ability to efficiently develop and maintain backend services.
- Strong communication skills, with the ability to effectively collaborate with business teams, understand business requirements, and translate them into technical solutions.
- Experience in developing and optimizing automated evaluation techniques for large models to enhance usability and performance.
- Solid knowledge of and ability to use common deep learning frameworks like PyTorch and vLLM for model inference and deployment.
- Experience in open‑source projects within communities such as Git Hub.
Founded in 2023, the Byte Dance Doubao (Seed) Team is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting‑edge research and drive technological and societal advancements. With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.
WhyJoin Byte Dance
Inspiring creativity is at the core of Byte Dance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life – a mission we work towards every day. As Byte Dancers, we strive to do great things with great people.
By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users.
Byte Dance 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. We celebrate diverse voices and create an environment that reflects the many communities we reach.
Reasonable AccommodationByte Dance 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, please reach out to us at
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