Responsibilities
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Want more jobs like this?
Get Software Engineering jobs in San Jose, CA delivered to your inbox every week.
Join us.
Our Ads Diagnosis & Optimization team is working on building the next-generation ads bidding & ranking diagnosis platform for TikTok Ads to support that growth and help empower creators, connect people, and explore possibilities.
We are seeking Senior Software Engineers with a solid background in auction, recommendation, or deep learning to help us improve our existing delivery system that optimizes experience and monetization efficiency via advanced technology, such as LLM or NLP. You will have the opportunity to partner closely with a fully globalized team to deep dive into engineering design and state-of-the-art machine learning models iteration across many kinds of products growth in a high-impact and fast-paced environment. Some of the world's most challenging technical and business problems are waiting for you to solve.
What You'll Do:
1. Understand ads platform objectives and take full advantage of modern machine learning techniques to improve ads relevance and quality delivered to end users.
2. Collaborate with Product Managers, Designers, and other disciplines to diagnose delivery problems, optimize experiences and improve monetization efficiency on TikTok.
3. Explore and Develop core systems and algorithms , including ads bidding, ads targeting, ads ranking, model serving reliability, etc.
4. Conduct cutting-edge research in auction, recommendation, or deep learning related problems, and apply the technology to different business scenarios.
Qualifications
Minimum Qualifications:
1. Strong knowledge of data structures and algorithms, proficient in at least one coding language, including but not limited to Go, C/C++, Java. Familiar with Linux development environments, and basic knowledge and skills in statistics.
2. Good theoretical grounding in machine learning concepts and techniques (CNN/RNN/LSTM, etc.).
3. Curiosity towards new technology and outstanding ability to analyze and solve ads delivery problems.
Preferred Qualifications:
1. Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet).
2. Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory).
3. Strong acumen in providing engineering solutions under complex monetization scenarios.
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 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 reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2 .
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $194000 - $355000 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.