Responsibilities
The Search Ads team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TopBuzz, BuzzVideo, and more, building a globally leading Search Ads monetization system. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will be also deeply involved in the innovation and optimization of our Ad format, creative display, and the ROI of ads delivery. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. 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
Qualifications
Minimum Qualifications: - Individuals who are completing or have recently completed a Bachelor's or above degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline. - Experience in and good theoretical grounding in machine learning concepts and techniques. - Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python. - Experience in one or more of the following frameworks: Tensorflow/PyTorch/MXNet, etc - Ability to think critically and to formulate solutions to problems in a clear and concise way. Preferred Qualifications: - Familiar with Ads system, recommendation, searching, ranking, etc.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $128000 - $256000 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 may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
