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Machine Learning Engineer, Core Ads Ranking - San Jose, CA, United States - TikTok
Description
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 UsCreation 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.
Join us. We're looking for innovative Machine Learning Engineers to join our TikTok Ads Core-Ranking team. Ads Core is a mid-platform team that develops state-of-art ad technologies, including ranking, targeting, bidding, auction, etc. You will be part of the Ranking team that is optimizing ads format and ranking model & strategies, including recall&rough-sort, fine-sort, format personalization and system framework, and you will be directly responsible for bringing a more advanced advertising delivery system and better return on investment for advertisers. What You'll Do:
- Own key ranking & format components or strategies in the TikTok ads monetization ecosystem.
- Research & develop state-of-the-art model and strategy to increase overall TikTok ads revenue.
- Design & Set up system framework and standard to continuously improve overall efficiency and meet different vertical business needs
- Work with product and business teams on the product vision. Qualifications Minimum Qualifications:
- BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, with 3+ years of related experience.
- Hands-on experience in one or more of the following areas: machine learning, deep learning, statistical models and applied mathematical methods.
- Solid programming skills, proficient in C/C++ and Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment.
- Familiarity with online experimentation and analytics.
- Familiarity with big data systems including Hadoop and Spark.
- Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet).
- Curiosity towards new technologies and entrepreneurship. Preferred Qualifications:
- Experience in reinforcement learning, transfer learning, and counter-factual optimization is a plus.
- Understanding of the business value of online advertising.
- Experience in LLM is a plus.
- Paper publication in NLP/CV/recommendation system(RecSys/KDD/NIPs... etc) 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 a reasonable accommodation, please reach out to us at Job Information: 【For Pay Transparency】Compensation Description (annually)
The base salary range for this position in the selected city is $ $250000 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.
Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:
We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.
Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
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Machine Learning Engineer, Core Ads Ranking professionals in San Jose
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Irina Max
Principal Lead Data Scientist/Manager