Machine Learning Engineer - Model Training Infrastructure - USDS

$145,000 - $355,000/Yr

Tiktok - Mountain View, CA

Full-time - Mid Level

Mountain View, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

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. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more. Why Join Us Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us. The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer - Model Training Infrastructure to join our team to support and advance that mission. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

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.

Requirements

• Bachelor's/Master's degree in Computer Science, Computer Engineering, or related fields or equivalent years of experience in a software engineering role.
• Proficient in C/C++/CUDA/Python, and have solid programming skills.
• Familiar with deep learning frameworks (TensorFlow/Pytorch).
• Experience in developing and deploying large-scale systems.

Nice-to-haves

• Ability to work independently and complete projects from beginning to end and in a timely manner.
• Good communication and teamwork skills to clearly communicate technical concepts with other teammates.
• 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.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
• Health Savings Account (HSA) with a company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure).
• 10 paid sick days per year.
• 12 weeks of paid Parental leave.
• 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match.
• Gym and cellphone service reimbursements.