Deskripsi Pekerjaan
Join ByteDance's pioneering Data AML team at the forefront of machine learning innovation. As a Machine Learning System Engineer Graduate (PhD), you'll architect and optimize cutting-edge training and inference systems that power our world-class recommendation engines. This role offers a unique opportunity to shape the future of AI infrastructure while working alongside industry experts in a dynamic, research-driven environment. You'll contribute to scalable solutions that process billions of data points daily, directly impacting billions of users globally. ByteDance provides unparalleled resources for PhD candidates to translate academic research into production-ready systems, with mentorship from leading ML engineers and access to state-of-the-art computing infrastructure.
Tanggung Jawab
- Design and implement scalable ML training/inference pipelines for recommendation systems
- Optimize system performance for large-scale data processing and model deployment
- Collaborate with cross-functional teams to integrate ML models into production environments
- Develop monitoring and debugging tools for ML system reliability
- Research and prototype novel ML engineering solutions
- Automate ML workflows using CI/CD best practices
- Document system architectures and technical specifications
Kualifikasi
- Currently pursuing a PhD in Computer Science, Machine Learning, or related field
- Strong programming skills in Python and C++
- Experience with distributed computing frameworks (Spark, Kubernetes)
- Familiarity with ML frameworks (TensorFlow, PyTorch)
- Knowledge of cloud platforms (AWS/GCP/Azure)
- Understanding of recommendation system architectures
- Experience with Linux systems and containerization
- Strong problem-solving and communication skills