Urgent! Machine Learning Engineer, TikTok Ads Ranking - USDS Job Opening In San Jose – Now Hiring TikTok
Team Intro:TikTok Ads Ranking team is dedicated to model optimization in the ads delivery system.
Our goal is to improve monetization efficiency of TikTok Ads products through model optimization in full funnel.
The team also aims to design and implement universal modeling solutions, and solve the long-standing problems of ranking algorithms.
At TikTok 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.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department.
We regularly review our hybrid work model, and the specific requirements may change at any time.
Responsibilities：
- Responsible for the development of ads delivery and ranking systems for the global market.
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.
- Familiar with the entire software development life cycle, including product discussion, requirement analysis, document writing, system design, coding, testing, etc.
- Using cutting-edge information retrieval and machine learning technologies, develop industry-leading ranking algorithms that directly enhance the real experience of billions of global users.
- Deeply explore how large-scale models will disrupt the next generation of search, recommendation, and ranking models, fully leveraging the world knowledge embedded in these models to bring revolutionary transformations to search and recommendation services.
Minimum qualifications:
-Master’s degree (or Bachelor's degree with 1+) years of experience in Computer Engineering, Electrical Engineering, Computer Science or related major.
-1+ years experience working with Unix Linux systems from kernel to shell and beyond with experience working with system libraries, file systems, and client-server protocols.
-3+ years experience in one or more programming languages such as Java, C++, Go, or scripting experience in Shell and Python.
Preferred qualifications:
-Self-driven and capable of coping with ambiguity and move projects from concept to delivery.
-Strong in analytical skills and the ability to solve real world problems in a fast moving environment.
-Experience in designing, analyzing and building automation and tools for large scale systems.
-Experience in building solutions with AWS, GCP, Azures and other cloud services.
-Experience in networking technologies such TCP/IP, BGP, DNS, etc.
in a carrier-grade environment.
-Experience in developing and operating one or more of following systems: OpenStack, Kubernetes, Nginx, ipvs, ELK stack, Hadoop, etc.
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in San Jose, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in San Jose, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 11037 jobs in United States and 424 jobs in San Jose. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! TikTok is currently hiring and seeking a Machine Learning Engineer, TikTok Ads Ranking USDS to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer, TikTok Ads Ranking USDS Jobs San Jose.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at TikTok adheres to the cultural norms as outlined by Expertini.
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