Machine Learning Engineer, Monetization Technology

TikTok Inc.; San Jose (CA); Presencial; USD 254.000 - 480.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, vision

401(k) with company match

Paid parental leave

Wellbeing benefits

Descripción de la vacante

TikTok Inc. is seeking a technically strong researcher/developer to help build next-generation monetization platforms. You will participate in large-scale ad systems, lead ML projects, and own core targeting components in our monetization ecosystem.

Collaborate with product and business teams to shape vision and strategy, applying deep ML skills and robust software practices. This full-time role is based in California with competitive compensation and benefits.

Formación

• BS/MS degree in Computer Science, Computer Engineering, or other relevant majors.
• Experience in and good theoretical grounding in machine learning concepts and techniques.
• Excellent programming, debugging, and optimization skills in Go, C/C++, Python.
• Experience with frameworks such as TensorFlow, PyTorch, MXNet.

Responsabilidades

• Participate in developing a large-scale Ads system.
• Develop state-of-the-art applied machine learning projects.
• Own key targeting components in the TikTok ads monetization ecosystem.
• Collaborate with product and business teams on product vision.

Conocimientos

Go

C/C++

Python

Machine learning concepts

Critical thinking

Educación

BS/MS in Computer Science/Engineering

Herramientas

TensorFlow

PyTorch

MXNet

Descripción del empleo

Responsibilities

Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solutions, and business integrity.

What You'll Do:

• Participate in the development of a large-scale Ads system.
• Responsible for the development of state-of-the-art applied machine learning projects.
• Own key targeting components or strategies in the TikTok ads monetization ecosystem.
• Work with product and business teams on product vision.

Qualifications

Minimum Qualifications:

• BS/MS degree in Computer Science, Computer Engineering, or other relevant majors.
• Experience in and good theoretical grounding in machine learning concepts and techniques.
• Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python.
• Experience in one or more of the following frameworks: Tensorflow/PyTorch/MXNet, etc
• Ability to think critically and to formulate solutions to problems in a clear and concise way.

Preferred Qualification:

• Has experience in ads system, recommendation, searching, ranking, etc.

Job Information

For Pay Transparency: Compensation Description (annually)

The base salary range for this position in the selected city is $254400 - $480000 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.