Senior Machine Learning Engineer - Search Ads

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.

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 also be deeply involved in the innovation and optimization of our Ad format, creative display, and the ROI of ads delivery. We are looking for candidates who have brave difficulties, share a passion for tackling complexity and developing our Search Ads product from 0 to 1 with a world-class team of passionate engineers.

What You'll Do

1. Participate in the development of a large-scale Ads system.
2. Responsible for relevance model and strategy optimization, such as semantic matching models, active learning, text/photo/video multi-model, ranking strategy, etc.
3. Participate in the development and iteration of Ads algorithms by using Machine Learning.
4. 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.
5. Work on CTR/CVR model estimation accuracy, data analysis, modeling, feature engineering.
6. Research and develop Ads pacing algorithms, ads traffic control, etc.
7. Partner with product managers and product strategy & operation team to define product strategy and features.

1. BS/MS degree in Computer Science, Computer Engineering or other relevant majors.
2. Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python.
3. 5+ years of experience in and a good understanding of one of the following domains: Search, Ads, Recommendation, Monetization Products, Shopping Products.

1. Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems.
2. PhD degree and research experience in NLP area, has published high-quality papers in top conferences/journals, like ACL/EMNLP/NAACL/NIPS...
3. Ability to think critically and formulate solutions to problems in a clear and concise way.
4. Solid communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment.

?For Pay Transparency?Compensation Description (annually)
The base salary range for this position in the selected city is $184300 - $337250 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. We offer the following benefits to eligible employees:

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.

Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.

We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.