Software Engineer Graduate (AI Platform)- 2026 Start (BS/MS)
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About this role
Team Introduction
The Intelligent Creation - AI Platform team is a team focusing on building advanced end-to-end AI production pipelines, including deep learning model training, optimization, deployment and applications. We provide AI capabilities to empower content creation and consumption on TikTok and serve billions of users.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
- Design, architect and implement backend systems to deploy generative AI models for use cases like image and video generation.
- Apply various techniques to optimize the performance of generative AI model training and serving, as well as improving the model quality.
- Build automation frameworks and tools to ensure high engineering quality and efficiency.
- Work with product teams to ensure smooth product delivery with high standards, prioritize short-term returns and long-term growth.
Qualifications
Minimum Qualifications
- Final year or recent graduate with a background in Computer Science or related majors
- C/C++/Go/Python experience, proficient in at least one programming language and solid software engineering background.
- Experience in large-scale backend systems with machine learning components; familiar with RPC frameworks and key-value storage systems. Experience dealing with concurrent systems and architectures.
- Great communication and teamwork skills.
Preferred Qualifications
- Experience in optimizing deep learning model training, tuning and deployment.
- Knowledge in cutting-edge computer vision and deep learning technologies and follow the most recent research advances.