Machine Learning Engineer, TikTok Ads Ranking - USDS

e.

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.

Qualifications

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.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $118657 - $259200 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.