Job Overview
Job description
- Salary:
- USD 156,000 - 316,800 per year
- Location:
- San Jose, CA
- Work arrangement:
- On-site
Machine Learning Engineer, Commerce Ads Ranking at TikTok in San Jose, CA.
Responsibilities
TikTok Commerce Ads Ranking team is dedicated to model optimization in the ads delivery system. Our goal is to improve monetization efficiency of TikTok Commerce Ads products through model optimization in full funnel. Besides, our team aims to design and implement universal modeling solutions, and solve the long-standing problems of ranking algorithms.
At TikTok Commerce Ads Ranking team, you can optimize model in recall / rough sort / fine sort, and explore innovative algorithms to break through the ceiling of ads performance.
- Optimizing model in ads delivery system: feature engineering, model structure, auto crossing, ads cold start, modeling delayed feedback, multi-task learning, sequence modeling
- Algorithm and system co-design: retrieval algorithm, sample mining, long sequence
- Exploring large-scale distributed training framework: GPU tuning, feature processing, synchronous training
Improving ads delivery efficiency in privacy-preserving environments
- LRM, the next generation rec system using LLM learning paradigm: entity understanding, end2end Generative Recommendation, sequence only based Recommendation, Mixture of Export
Requirements
- Have excellent coding skills, be familiar with C++/Python, and have a solid foundation in data structures and algorithms.
- Solid foundation in machine learning, familiar with common algorithm models such as FM, LR, GBDT, DNN, Wide&Deep, etc.
- Excellent learning ability and good teamwork spirit. And excellent analytical and problem-solving skills.
Papers in conferences such as KDD, NeurIPS, SIGIR etc, or experience in data mining/machine learning related competitions are a good fit.
- Bachelor degree or above in computer science or related majors
Preferred Qualifications
- Papers in conferences such as KDD, NeurIPS, SIGIR etc, or experience in data mining/machine learning related competitions are a good fit.
- Bachelor degree or above in computer science or related majors, work experience in advertising/recommendation/search ranking are preferred.
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, Commerce Ads Ranking
- 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