Senior Backend Software Engineer, Shop Ads - USDS

Responsibilities

About the team
The TikTok USDS Shop Ads team is dedicated to blending advertiser focus with technical expertise. Our mission is to enhance shop ads-both open-loop and closed-loop-to establish TikTok US as an essential growth engine for businesses of all sizes and a top destination for consumers to discover and buy products, content, and services. We are crucial to driving TikTok's ad revenue and are committed to developing the next-generation shop ad solutions for the platform.

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:
- Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ad ranking quality and optimize advertisers' marketing strategies. Examples include but are not limited to click through rate prediction, conversion rate prediction, intelligent format selection and user journey optimization.
- Explore, develop and experiment with new features to improve model accuracy.
- Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users.
- Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.

Qualifications

Minimum Qualifications:
- Bachelor's degree in computer science or related technical disciplines.
- 3+ years of working experience and extensive knowledge of modern software tech stack, including large-scale backend systems, and data pipelines.
- Strong Computer Science fundamentals (algorithms, data structures, software design), coding skills and problem-solving skills.

Preferred Qualifications:
- Strong programming expertise in C++ or Go, including debugging and performance optimization in general-purpose languages.
- Experience building or maintaining large-scale advertising infrastructure or similar high-throughput, low-latency systems.
- Excellent teamwork and communication skills, with a strong sense of ownership and the ability to move projects forward independently.
- Strong business and data intuition, passion for tackling complex problems, and proven ability in abstraction, project execution, and innovation.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $136800 - $359720 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