AI Solution Architect Graduate (BytePlus) - 2027 Start

Join the Innovative BytePlus Team This is a once in a lifetime opportunity to join the world's fastest growing startup as well as the biggest unicorn by valuation.

With ByteDance's vision to build global platforms of creation and interaction, BytePlus is devoted to developing innovative technologies and products for businesses to fuel their next wave of growth.

It is the best time to join us and pave into the new era together!

We are looking for talented individuals to join our team.

As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year.

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 our Company and its affiliates' jobs globally.

Applications will be reviewed on a rolling basis - we encourage you to apply early.

Pre-sales discovery and solution design: Work with sales and customer teams to understand creative and business needs, translate them into technical requirements, and shape compelling AI solution proposals, demos and proofs of concept. 2.

Generative media prototyping: Build hands-on prototypes using image, video, audio and multimodal generation models for use cases such as advertising creative, product imagery, virtual try-on, storyboarding, content localization, animation and media production. 3.

Production delivery: Help customers move from prototype to production by integrating model APIs, designing reliable workflows, and addressing latency, throughput, cost, observability, safety and quality. 4.

Agentic solution development: Design and implement practical agentic systems around generative media workflows, including orchestration, tool use, state and memory, model routing, human review, failure handling, evaluation and monitoring. 5.

Model evaluation and optimization: Compare models and workflows using qualitative and quantitative evaluation, improve prompts and model configurations, and communicate trade-offs clearly to customers and internal teams. 6.

Cross-functional collaboration: Partner with product, research, engineering and go-to-market teams; bring customer and industry insights back into product and model development. 7.

Industry learning and thought leadership: Stay current with generative media models, creative tools and production practices, and turn new capabilities into clear customer-facing use cases.

Minimum Qualifications - Individuals who are completing or have recently completed a bachelor's degree in computer science, artificial intelligence, machine learning, creative technology, animation, film, digital media, advertising or a related field or a related discipline. - Hands-on experience building with generative AI models, especially image, video or audio generation, demonstrated through an internship, academic project, portfolio, open-source contribution, startup project or shipped product. - Experience taking at least one AI application beyond a simple demo toward production-grade use—for example through an internship—with attention to reliability, evaluation, latency, cost, monitoring, safety or user experience. - Programming proficiency in Python or another relevant language, and practical experience integrating model APIs or machine learning frameworks. - Understanding of the generative media workflow, including prompting, conditioning or reference inputs, model selection, output evaluation and iterative creative refinement. - Strong problem-solving and communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.

Preferred Qualifications - A creative background or portfolio in film, animation, directing, advertising, design, content production, gaming or another creative discipline. - Internship or project experience in advertising technology, e-commerce, creative tools, film production, media and entertainment, social content or creator platforms. - Experience working directly with diffusion, transformer or multimodal models, including fine-tuning, LoRA, control or conditioning techniques, inference optimization or model evaluation. - Familiarity with media-processing tools and pipelines, such as FFmpeg, image/video/audio preprocessing, asset management or creative workflow automation. - Experience designing demos, presenting technical work, gathering user feedback or collaborating with customers and cross-functional stakeholders. - Curiosity, ownership and comfort working in a fast-moving environment where both the technology and customer needs evolve quickly.