Software Engineer, Recommendation Infrastructure

TikTok Inc.

San Jose (CA)

On-site

USD 218,000 - 388,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) match
Parental leave
Short-term disability
Long-term disability
Life insurance
Wellbeing benefits
Paid holidays
Paid sick days
Paid Personal Time

Job summary

TikTok Inc. in San Jose, CA seeks a senior engineer to join the Recommendation Architecture Team, shaping the architecture of TikTok's recommendation system to deliver the most stable and engaging user experience.

You will build and maintain high-performance online services, create efficient data pipelines for candidates and profiles, and contribute to a globally scaled recommender system with advanced computing and storage systems.

Qualifications

  • Bachelor's degree or above in Computer Science or related field with 5+ years of scalable systems experience.
  • Programming in C, C++, Java or Golang with strong ownership and drive.
  • Experience in recommendations, search, ML, distributed storage, or big data is a plus.

Responsibilities

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

Skills

C/C++/Java/Golang
Ownership & drive
ML & recommendations

Education

Bachelor's degree in CS

Job description

Responsibilities

About The Team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.

Responsibilities - What You'll Do
  • 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, with 5+ 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 $218400 - $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

About The Team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.

Responsibilities - What You'll Do
  • 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, with 5+ 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.
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