Software Engineer, Ads ML Infrastructure

TikTok Inc.; San Jose (CA); Presencial; USD 162.000 - 317.000; Jornada completa

Descripción de la vacante

TikTok Inc. seeks an innovative Software Engineer to join the Ads Data Platform team. You will help build and operate scalable Ads ranking infrastructure and provide technical leadership.

The role focuses on handling massive data for ML training and serving, collaborating across teams, and driving adoption of new techniques and technologies.

Formación

• Bachelor's degree in computer science or related technical disciplines.
• 3+ years of hands-on experience with building and training complex and scalable machine learning systems.
• Strong CS fundamentals and problem-solving skills.

Responsabilidades

• Lead projects committed to building and operating scalable and reliable Ads ranking infrastructure systems.
• Provide technical leadership and guidance to team members and project peers.
• Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts.
• Lead the innovation efforts, and bring in new ideas and technologies.

Educación

Bachelor's degree in computer science or related technical disciplines

Descripción del empleo

Responsibilities

About the team The ads system at TikTok operates on a massive scale and serves millions of advertisers, clients and influencers across the world. The quality of the ads system highly depends on the ability to handle massive data, and machine learning is widely used to improve the quality of our ads. The Ads machine learning data platform team is responsible for building highly efficient and stable infrastructure to collect and process data for the usage of machine learning training, serving, and privacy enforcement, including feature engineering, feature store, training data generation, etc.

We are looking for an innovative Software Engineer to join the team. You will provide technical leadership to key projects and empower the team.

Responsibilities

• Lead projects committed to building and operating scalable and reliable Ads ranking infrastructure systems.
• Provide technical leadership and guidance to team members and project peers.
• Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts.
• Lead the innovation efforts, and bring in new ideas and technologies.

Qualifications

Minimum Qualifications

• Bachelor's degree in computer science or related technical disciplines.
• 3+ years of hands-on experience with building and training complex and scalable machine learning systems.
• Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills.
• Solid coding skills and a good understanding of algorithms, especially causal inference, uplift model, and deep learning.
• Experience in managing projects.

Preferred Qualifications

• Experience in Ads domain.
• Experience with building large-scale ranking infrastructure.

Job Information

[For Pay Transparency] Compensation Description (annually)

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

Responsibilities

About the team The ads system at TikTok operates on a massive scale and serves millions of advertisers, clients and influencers across the world. The quality of the ads system highly depends on the ability to handle massive data, and machine learning is widely used to improve the quality of our ads. The Ads machine learning data platform team is responsible for building highly efficient and stable infrastructure to collect and process data for the usage of machine learning training, serving, and privacy enforcement, including feature engineering, feature store, training data generation, etc.

We are looking for an innovative Software Engineer to join the team. You will provide technical leadership to key projects and empower the team.

Responsibilities

• Lead projects committed to building and operating scalable and reliable Ads ranking infrastructure systems.
• Provide technical leadership and guidance to team members and project peers.
• Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts.
• Lead the innovation efforts, and bring in new ideas and technologies.

Qualifications

Minimum Qualifications

• Bachelor's degree in computer science or related technical disciplines.
• 3+ years of hands-on experience with building and training complex and scalable machine learning systems.
• Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills.
• Solid coding skills and a good understanding of algorithms, especially causal inference, uplift model, and deep learning.
• Experience in managing projects.

Preferred Qualifications

• Experience in Ads domain.
• Experience with building large-scale ranking infrastructure.