Machine Learning Engineer Lead

Responsibilities
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

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
Our Trust and Safety RD team is fast growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. Our mission is to protect billions of users and publishers across the globe every day. We embrace state-of-the-art machine learning technologies and scale them to detect and improve the tremendous amount of data generated on the platform. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.
We are looking for a hands-on leader with solid experience in designing and deploying state-of-the-art models in the combination of NLP and CV related areas. This position will work with a team of excellent research scientists and machine learning engineer who can take initiatives, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform.

**Responsibilities**:
1. Play a key role in designing next generation CV/NLP/Multi-modality models
2. Work on highly-scalable classifiers, predictive models and algorithms in big data mining, computer vision, NLP and other domains
3. Work with engineering teams to implement model pipelines and deploy the service at scale
4. Collaborate with product teams to define objectives and improve trust and safety strategy
5. Collaborate with data analysts to understand and find data patterns

**Qualifications**:
**Minimum Qualifications**:
1. Bachelor's Degree or above, in Computer Science, Computer Engineering, Information Systems or other STEM disciplines;
2. 5+ years of hands-on experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, Audio, content understanding or participating in large-scale online machine learning platforms are preferred;
3. Proficient in deep learning frameworks such as PyTorch and TensorFlow, and programming languages such as Python or Java;
5. Good programming skills in Python and similar languages, and a deep understanding of data structures and algorithms.

**Preferred Qualifications**:
1. Proven leadership experience in managing a team and getting excellent results, with the ability to discover and solve various problems faced by the development of the team in a timely manner;
2. Good communication and teamwork skills, passionate about learning new techniques and taking on challenging problems;
3. Experience in the Trust and Safety area is a plus.

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.