Job Overview
Job description
- Salary:
- USD 162,000 - 316,800 per year
- Work arrangement:
- On-site
Machine Learning Engineer - Search Ads at TikTok.
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 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.
- 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
- BS degree in Computer Science, Computer Engineering or other relevant majors.
- Excellent programming, debugging, and optimization skills in general purpose programming languages
- Ability to think critically and to formulate solutions to problems in a clear and concise way.
Preferred Qualifications
- Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python.
- Good understanding in one of the following domains: ad fraud detection, risk control, quality control, adversarial engineering, and online advertising systems.
- Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack.
Job Information
[For Pay Transparency] Compensation Description (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.
About the Company
The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science.
At TikTok, our Global Business Solutions (GBS) team plays a key role in generating revenue by promoting our advertising solutions, onboarding new clients, driving ad campaigns, and more. As the TikTok community grows at an unprecedented speed around the world, our GBS team leads groundbreaking projects that are changing the landscape of the advertising industry in real time.
We're seeking an analytically driven, and detail-oriented Client Solutions Manager (CSM) Intern to join our Ecommerce Team. As a CSM, you will partner closely with Client Partners and Client Solutions Managers to drive revenue by identifying opportunities, leveraging data insights, and delivering consultative solutions for advertisers.
This role centers on client education, relationship growth, data analysis, and campaign success. You will provide strategic recommendations to both clients and internal teams, ensuring campaigns achieve business objectives while optimizing long-term partnerships. Success in this role requires strong data analytics skills, adaptability in a fast-paced environment, and a test-and-learn mindset to uncover the best solutions.
Additional Information
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:
- Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
- Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
- Exercising sound judgment.
- Role:
- Machine Learning Engineer - Search Ads
- Job Type:
- Mid Level | Data and Analytics
Company profile
TikTok
tiktok.comTikTok operates a short-form mobile video platform where people create videos on their smartphones and share them with a community of viewers. Its feed recommends content tailored to each user, with communities around books, learning, gaming, food and sports. TikTok's global headquarters are in Los Angeles and Singapore, and the company has offices in Berlin, Dubai, Dublin, Jakarta, London, Mexico City, New York, Paris, Sao Paulo, San Jose, Seoul, Sydney and Tokyo.
- Headquarters
- Los Angeles, California, United StatesSingapore, Singapore
- Founded
- 2016