Overview
On Site
USD 224,000.00 - 410,000.00 per year
Full Time
Skills
Search Engines
Monetization
Storage
Innovation
Return On Investment
Semantics
Active Learning
Natural Language Processing
Named-Entity Recognition (NER)
Optimization
Estimating
Data Analysis
Modeling
Research
Algorithms
Product Strategy
Computer Science
Computer Engineering
Programming Languages
C
C++
Python
Communication
Collaboration
ADS
Machine Learning (ML)
Insurance
Life Insurance
Management
Information Technology
Video
LOS
Recruiting
Job Details
Location :
San Jose
Employment Type :
Regular
Job Code :
A139276
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Responsibilities
TikTok has become a premier destination for search queries globally. 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 machine learning systems, distributed storage and architecture, NLP, Ranking, Auction and Bidding 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 candidates who 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. 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
Qualifications
Minimum Qualifications
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 internal teams in a cross-cultural and cross-functional environment Preferred Qualifications
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
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $224000 - $410000 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.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
Apply to this job
San Jose
Employment Type :
Regular
Job Code :
A139276
Apply to this job
Share this listing:
Responsibilities
TikTok has become a premier destination for search queries globally. 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 machine learning systems, distributed storage and architecture, NLP, Ranking, Auction and Bidding 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 candidates who 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. 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
Qualifications
Minimum Qualifications
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 internal teams in a cross-cultural and cross-functional environment Preferred Qualifications
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
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $224000 - $410000 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.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
Apply to this job
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.