Deskripsi Pekerjaan
Join ByteDance's Applied Machine Learning (AML) - Ark team and play a pivotal role in developing cutting-edge machine learning platform products on VolcanoEngine with cloud-native architecture. As a Backend Engineer, you'll be at the forefront of innovation, working on large model platforms that power some of the world's most popular applications and services.
The ARK Large Model Platform is revolutionizing how machine learning models are developed, deployed, and scaled. You'll have the opportunity to work with state-of-the-art technologies and contribute to platforms that serve millions of users globally. This role offers a unique blend of technical challenges and impact, allowing you to shape the future of AI infrastructure at one of the world's leading technology companies.
ByteDance offers a dynamic work environment where innovation is encouraged, and your contributions make a real difference. You'll collaborate with talented engineers and researchers who are passionate about pushing the boundaries of what's possible with machine learning and cloud-native technologies.
Tanggung Jawab
- Design, develop, and maintain scalable backend systems for the ARK Large Model Platform on VolcanoEngine
- Implement cloud-native solutions using containerization, orchestration, and microservices architecture
- Optimize machine learning model deployment and inference performance
- Collaborate with ML engineers and researchers to integrate models into production systems
- Ensure platform reliability, security, and performance through robust engineering practices
- Participate in code reviews and contribute to improving team development processes
- Stay updated on emerging technologies and best practices in cloud-native ML platforms
Kualifikasi
- Bachelor's degree in Computer Science, Engineering, or related field with 3+ years of backend development experience
- Strong programming skills in Python, Java, Go, or similar backend languages
- Experience with cloud-native technologies including Kubernetes, Docker, and container orchestration
- Familiarity with machine learning frameworks and model deployment patterns
- Knowledge of distributed systems, microservices architecture, and API design
- Experience with database technologies (SQL and NoSQL) and data processing pipelines
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment