Software Engineer - Recommendation Infrastructure, TikTok Video Social

TikTok Inc.; San Jose (CA); On-site; USD 162,000 - 388,000; Full time

Job summary

TikTok Inc. is hiring for a role within the Recommendation Architecture - Social Team in California. You will build and maintain high performance online services for the TikTok recommendation system, and develop efficient data pipelines for candidates, profiles, and training data.

You will contribute to a globalized large-scale recommender and design computing frameworks and storage systems. The ideal candidate has a CS-related degree with at least 2 years in scalable system development and

Qualifications

• Bachelor's degree or above in CS or related field.
• At least 2 years of experience building scalable systems.
• Experience with C, C++, Java or Golang is preferred.
• Effective communication and ownership.

Responsibilities

• Build and maintain high performance online services for TikTok recommendation system.
• Build efficient data pipelines for candidates, profiles, and training data generation.
• Create a globalized large-scale recommendation system.
• Design and develop high performance computing frameworks and storage systems.

Skills

C/C++/Java/Golang

Distributed systems

Communication

Education

Bachelor's degree or above, Computer Science

Job description

Responsibilities

About The Team: The Recommendation Architecture - Social Team is responsible for building and optimizing the architecture of our recommendation system to provide the best social experience for our TikTok users.

• Build and maintain high performance online services for TikTok recommendation system;
• Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc;
• Build globalized large-scale recommendation system;
• Design and develop high performance computing frameworks and storage systems.

Qualifications

• Bachelor's degree or above, majoring in Computer Science, or related fields
• At least 2 years of experience building scalable system
• Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang;
• Effective communication skills and a sense of ownership and drive;
• Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $162000 - $387600 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

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.

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: