What are the responsibilities and job description for the Engineering Manager, TT Recommendations position at Tik Tok?
Responsibilities
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.
About the Team
The TikTok Recommendation team sits in the center of TikTok, designs, implements and improves the recommendation algorithm that powers the TikTok For You Page (FYP).
The team is at the intersection of cutting-edge machine learning research and large-scale end-to-end production systems. We take pride in finding the right balance between solid applied research, elegant system design and being pragmatic. We have a strong user focus and a dedication to technical excellence.
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.
What you'll do
- Lead the team to improve recommendation models at massive scale, through applying state-of-the-art machine learning techniques across all ranking phases including but not limited to retrieval, ranking, re-ranking, etc.
- Drive team to apply cutting-edge application-driven research to explore the frontier of recommendation algorithmic domain. Drive team to develop industry leading recommendation systems.
- Drive team to cross functionally work with product managers, data scientists and product engineers to understand insights, formulate problems, design and refine machine learning algorithms, and communicate results to peers and leaders.
- Have a good understanding of end-to-end machine learning systems. Work with infra teams to improve efficiency and stability.
Qualifications
Minimum Qualifications
Preferred Qualifications :
Participation in public / open-source AI-related projects which are of high visibility
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https : / / shorturl.at / ktJP6
This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.
