Machine Learning Engineer - NLP, TikTok Business Integrity

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users’ needs with reliable and high-performing platforms and services.

We use AIGC large model, deep learning, machine learning and other technologies to establish a safe and trusted connection between billions of active users and the company's commercial products (advertising, e-commerce, live broadcast, etc.). By building a highly concurrent and highly reliable risk control system, we can perceive and deal with the risks of commercial products in real time.

Responsibilities:

1. Responsible for understanding content of advertisements, including titles, images, videos, OCR texts, ASR texts, etc.
2. Responsible for the construction of models, such as AIGC model, semantic matching model, classification model, etc.
3. Responsible for the construction of text-related strategies, including keyword mining, rule mining, etc.
4. Participate in basic NLP capacity building, such as long/short text classification, seq2seq, NER, keyword mining, attention mechanism and other related technologies.

1. Excellent algorithm foundation and programming ability, familiar with mainstream programming languages such as python/c++.
2. Familiar with NLP-related tasks, and have practical experience and technical accumulation in one or more fields of NLP.
3. Familiar with the theory of deep learning and machine learning, such as Bert, Transformer, Electra, LSTM, LR, SVM, HMM, CRF, Decision Tree, Random Forest, etc.
4. Familiar with model training frameworks, such as tensorflow, pytorch, mxnet, etc.
5. Bachelor's degree or above, majoring in Computer Science, Computer Engineering, Electrical Engineering, or other related fields.
6. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills. Maintain curiosity about new things, and have a strong sense of responsibility, integrity and reliability.
7. Experience in AIGC models is preferred.

Compensation Description (annually)

The base salary range for this position in the selected city is $117000 - $210960 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life.