Engineering Manager, Search Ads

$224,000 - $410,000/Yr

Tiktok - San Jose, CA

Full-time - Manager

San Jose, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Engineering Manager for Search Ads at TikTok will lead a team focused on developing and optimizing large-scale machine learning systems for search engine monetization across various TikTok applications. This role involves managing a team of Machine Learning Engineers, driving innovation in ad formats, and enhancing the overall performance of search ads through advanced algorithms and data analysis. The position emphasizes collaboration with product managers and cross-functional teams to define product strategies and features, aiming to create impactful solutions that enhance user experience and ad effectiveness.

Responsibilities

• Participate in the development of a large-scale Ads ML systems
• Responsible for relevance model and strategy optimization, such as semantic matching models, active learning, text/photo/video multi-model, ranking strategy, auction/bidding platform, 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

• Experience managing a team of Machine Learning Engineers
• Previous experience as a Machine Learning Engineer working on Search or Ads technologies/systems/products
• BS degree in Computer Science, Computer Engineering or other relevant majors
• Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python
• Ability to think critically and formulate solutions to problems in a clear and concise way
• Solid communication and collaboration skills with the ability to work effectively with cross functional teams

Nice-to-haves

• Extensive experience working within a Search Ads, Search or Ads domain with large scale ML systems
• Exposure to ads ranking, auction, bidding, and recommendation systems
• Experience hiring talented Machine Learning Engineers and dealing with a rapidly growing team size

Benefits

• 401(k) matching
• AD&D insurance
• Dental insurance
• Disability insurance
• Employee assistance program
• Flexible spending account
• Health insurance
• 100% premium coverage for employee medical insurance
• Approximately 75% premium coverage for dependents
• Health Savings Account (HSA) with company match
• 10 paid holidays per year
• 17 days of Paid Personal Time Off (PPTO)
• 10 paid sick days per year
• 12 weeks of paid Parental leave
• 8 weeks of paid Supplemental Disability
• Mental and emotional health benefits through EAP and Lyra
• Gym and cellphone service reimbursements