Machine Learning Engineer - Model Training Infrastructure
$198.36k - $416.1kByteDance
Responsibilities The Applied Machine Learning (AML) team is seeking a Machine Learning Platform Engineer to develop and maintain our machine learning platform. The platform supports deep learning models for code development, testing, training, model deployment, and other core business functions. The team oversees the company's critical machine learning platform and serves as a foundation for recommendation, advertising and search. Here, you can work on recommended systems and distributed training of large-scale deep learning models. We welcome candidates interested in machine learning platform engineering and with excellent engineering capabilities to join our team. If you love challenges and want to develop in the innovation field, please submit your application as soon as possible. Responsibilities:
- Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.
- Responsible for improving use-ability and flexibility of the machine learning infrastructure.
- Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems.
- Responsible for designing and developing key components of ML infrastructure and mentoring interns.
- At least 5 years of experience in developing and deploying large-scale systems.
- Proficient in C/C++/CUDA/Python, and have solid programming skills.
- Familiar with deep learning frameworks (TensorFlow/Pytorch).
- Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax).
- Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).
- Experience in using/designing open-source machine learning lifecycle management systems: TFX
- Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
- Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
- Exercising sound judgment.
Vacancy posted 4 days ago
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