Software Engineer, Architecture and Infrastructure

Responsibilities

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Established 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 Us
Creation 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.

Team Intro
AML (Applied Machine Learning) Machine Learning System team focuses on the research and implementation of cutting-edge technologies in the field of Machine Learning systems, providing high-performance, highly reliable, scalable systems. In the team, you'll have the opportunity to build the large scale heterogeneous system integrating with GPU/RDMA/Storage and keep it running stable and reliable, enrich your expertise in coding, performance improvement and problem analysis, and be involved in the decision-making process.

We are researching new applications and solutions in the fields of search, recommendation, advertising, content creation, dialogue, and customer service using deep models such as NLP/CV, to meet the growing demand for intelligent interactions from users. Our goal is to enhance users' lifestyles and communication methods in the future world. Responsibilities include optimizing online service and offline data stream performance, addressing system bottlenecks, reducing costs, and ensuring system stability and high availability.

Responsibilities:
1. Participating in online architecture design and optimization centered around deep model inference tasks, achieving high concurrency and throughput in large-scale online systems.
2. Participating in the establishment of a comprehensive system covering stability, disaster recovery, R&D efficiency, and cost, enhancing overall system stability.
3. Participating in the design and implementation of end-to-end online pipeline systems with multiple models, plugins, and storage-computation components, enabling agile, flexible, and observable continuous delivery.
4. Collaborating closely with the MLE for optimization of algorithms and systems.
5. Being proactive, optimistic, highly responsible, and demonstrating meticulous work ethic, as well as possessing strong team communication and collaboration skills.

Qualifications

Minimum Qualifications
1. Excellent coding skills, strong understanding of data structures, and fundamental knowledge of algorithms. Proficiency in programming languages such as C/C++, Java, Go, Python, etc.
2. Familiarity with deep learning models and its applications, such as ResNet, BERT, etc.
3. Rich experience in online architecture, with the ability to troubleshoot independently.
4. Strong sense of responsibility, good learning ability, communication skills, and self-motivation.

Preferred Qualifications:
1. Experience in the architecture of recommendation/advertising/search online and offline systems.
2. Understanding of GPU hardware architecture, familiarity with GPU software stack (CUDA, cuDNN), and experience in GPU performance analysis.


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, w