Responsibilities

The Brand Ads Team builds technologies that unlock business growth potential. This team owns several ads products: reservation ads, auction ads, and innovative content ads that enables advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting. We are looking for experienced engineers that have strong problem solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability. You will have the opportunity to partner closely with a globalized engineering and product teams in a high-impact and fast-paced environment. Responsibilities:
• Create innovative monetization products that drive engagement and business outcomes.
• Develop highly scalable services that powers new ad products for billions of requests. Design systems that will optimize monetization efficiency with product engineering and state-of-the-art machine learning technologies.
• Implement new ad solutions that will continuously protect the user experiences on TikTok.
• Collaborate with strategy team, product managers, and other key stakeholders to define products and drive initiatives from engineering perspective.
• Contribute to the success of a rapidly growing and evolving organization with speediness and quality.

Qualifications

Minimum Qualifications:
• BS degree in Computer Science, Computer Engineering or other relevant majors with 3+ year of work experience.
• Excellent programming, debugging, and optimization skills in one or more general purpose programming languages including but not limited to: Go, C/C++, Python.
• Proficient in the mechanics of computational advertising, with a strong understanding of ad delivery systems.
• Ability to think critically and to formulate solutions to problems in a clear and concise way. Preferred Qualifications:
• Good understanding in one of the following domains: brand ads, content ads, auction, bidding, ranking, and ads forecasting.
• Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data pipeline.
• Good product sense and experience designing and implementing product features.

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $156000 - $316800 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.