Machine Learning Engineer Graduate (Lead Ads) - 2027 Start

About the role

The Lead Ads team empowers TikTok's global monetization (billion-dollar business) via efficiently delivering lead ads on TikTok. Our mission is to push the boundaries of large-scale ads delivery systems and lead the innovations of TikTok's personalized online advertising. Successful candidates must be able to commit to an onboarding date by the end of the year.

Responsibilities

• Participate in the development of a large-scale Ads system
• Responsible for relevance model and strategy optimization, such as semantic matching models, active learning, text/photo/video multi-model, ranking strategy, etc.
• Participate in the development and iteration of Ads algorithms by using Machine Learning
• Work on NLP (Natural Language Processing) capability improvement and query understanding, such as query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, bidword optimization, etc.
• Work on CTR/CVR model estimation accuracy, data analysis, modeling, feature engineering
• Research and develop Ads pacing algorithms, ads traffic control, etc.
• Partner with product managers and product strategy & operation team to define product strategy and features

Requirements

• Individuals who are completing or have recently completed a Bachelor's or above degree in Computer Science, Computer Engineering, or a related technical discipline
• Solid programming skills, including but not limited to: Go, C/C++, Python
• Familiar with basic data structure and algorithms
• Familiar with Linux development environment
• Good analytical thinking capability
• Have essential knowledge and skills in statistics
• Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.)
• Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture and implementation mechanism

Preferred Qualifications

• Experience with Ads system, recommendation, searching, ranking, etc.

Pay

The base salary range for this position is $128,000 - $256,000 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.

Benefits

• Day one access to medical, dental, and vision insurance
• 401(k) savings plan with company match
• Paid parental leave
• Short-term and long-term disability coverage
• Life insurance
• Wellbeing benefits
• 10 paid holidays per year
• 10 paid sick days per year
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)