Software Engineer, Recommendation Architecture ShortText

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

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Short-term and long-term disability

Job summary

TikTok Inc. is seeking a Software Engineer to join our Recommendation Architecture Team in San Jose.

You will help build and maintain high-performance online services for our TikTok recommendation system, and design scalable data pipelines and frameworks to support real-time training and generation processes. The role requires a Bachelor's degree in Computer Science or related field, strong proficiency in C/C++, Java or Golang, and excellent communication skills with a proactive ownership

Qualifications

• Bachelor's degree in Computer Science or related field.
• Experience with programming languages: C, C++, Java or Golang.
• Strong communication and ownership.

Responsibilities

• Build and maintain high performance online services for TikTok recommendation system.
• Build efficient 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.

Skills

C

C++

Java

Golang

Communication skills

Education

Bachelor's degree in Computer Science or related field

Job description

Responsibilities

Our Team

We cover almost all short-text recommendation scenarios in TikTok, such as search suggestions, the video-related search bar, and comment entities. Our recommendation system supports personalized sorting for queries, optimizing the user experience and improving TikTok's search awareness. Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for recommendation system to provide the most stable and best experience for our TikTok users.

Responsibilities

• 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

Minimum Qualifications:

• Bachelor's degree or above, majoring in Computer Science, or related fields
• 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

Preferred Qualifications:

• 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:

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.

Responsibilities

Our Team

We cover almost all short-text recommendation scenarios in TikTok, such as search suggestions, the video-related search bar, and comment entities. Our recommendation system supports personalized sorting for queries, optimizing the user experience and improving TikTok's search awareness. Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for recommendation system to provide the most stable and best experience for our TikTok users.

Responsibilities

• 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

Minimum Qualifications:

• Bachelor's degree or above, majoring in Computer Science, or related fields
• 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

Preferred Qualifications:

• 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.