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Machine Learning Engineer

2 months ago


Mountain View, California, United States TikTok Full time
About TikTok U.S. Data Security

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained.

Why Work with Us

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. We are passionate about this and hope you are too. Our platform connects people from across the globe and so does our workplace. We are committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.

Job Summary

We are seeking a highly skilled Machine Learning Engineer - Model Training Infrastructure to join our team. The successful candidate will be responsible for the design and implementation of a global-scale machine learning system for feeds, ads, and search ranking models. This is a critical role that requires a strong background in machine learning, software engineering, and system design.

Key Responsibilities
  1. Design and implement a global-scale machine learning system for feeds, ads, and search ranking models.
  2. Improve the usability and flexibility of the machine learning infrastructure.
  3. Improve the workflow of model training and serving, data pipelines, storage systems, and resource management for multi-tenancy machine learning systems.
  4. Design and develop key components of ML infrastructure and mentor interns.
Requirements
  1. Bachelor's/Master's degree in Computer Science, Computer Engineering, or related fields or equivalent years of experience in a software engineering role.
  2. Proficient in C/C++/CUDA/Python, and have solid programming skills.
  3. Familiar with deep learning frameworks (TensorFlow/PyTorch).
  4. Experience in developing and deploying large-scale systems.
Preferred Qualifications
  1. Ability to work independently and complete projects from beginning to end and in a timely manner.
  2. Good communication and teamwork skills to clearly communicate technical concepts with other teammates.
  3. Experience on improving core machine learning infrastructure (TensorFlow, PyTorch, and Jax).
  4. Experience contributing to an open-sourced machine learning framework (TensorFlow/PyTorch).
  5. Experience in using/designing open-source machine learning lifecycle management systems: TFX.
What We Offer

We offer a competitive salary and benefits package, including 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and a Health Savings Account (HSA) with a company match. We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra, a 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.