Machine Learning Engineer, Monetization Technology

TikTok; San Jose (CA); On-site; USD 254,000 - 480,000; Full time

Job summary

TikTok is seeking a skilled ML/Software Engineer to join the Monetization Technology team in the United States. You will contribute to building large-scale ads systems, develop state-of-the-art applied machine learning projects, and own targeting components in the TikTok ads ecosystem, collaborating with product and business teams on vision and priorities.

Candidates should have a BS/MS in CS/CE, strong ML grounding, and proficiency in Go, C/C++, or Python, plus experience with TensorFlow,

Qualifications

• BS/MS degree in CS, CE or related majors.
• Strong ML theory and practical experience.
• Proficient in Go, C/C++, or Python.
• Experience with ML frameworks: TensorFlow, PyTorch, MXNet.
• Strong analytical and problem-solving abilities.

Responsibilities

• Develop and scale a large Ads system component.
• Advance 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.

Skills

Machine Learning

Go

C/C++

Python

TensorFlow

PyTorch

MXNet

Ads systems

Problem Solving

Education

BS/MS degree in CS/CE or related majors

Job description

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.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We\'re resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok Accommodation

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request

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.