at TikTok
Full TimeTikTok 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 its offices include New York, London, Dublin, Paris, Berlin, Dubai, 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.
Join us.
The Lead Ads team empowers TikTok's global monetization (billion-dollar business) via efficiently delivering lead ads on TikTok. Our mission is to push the boundaries of large-scale ads delivery systems and lead the innovations of TikTok's personalized online advertising. Hence, you'll have a chance to get deeply involved in our large-scale distributed systems and state-of-the-art machine learning algorithms. As a Machine Learning Engineer on the Lead Ads team, you will make efforts to develop novel machine learning solutions for ranking, build scalable foundations and launch various products that maximize the efficiency of lead ads delivery.
Key Responsibilities:
- Work on the development of a large-scale online ads delivery system and improve its accuracy.
- Explore multi-stage ranking models, conduct data analysis, develop feature engineering.
- Participate in the innovations of online ads systems using machine learning models, ranking algorithms, etc.
- Partner with product managers, data scientists and product strategy & operation team to launch new Lead Ads products and features.
Minimum Qualifications:
- BS/MS degree in Computer Science, Computer Engineering, or other relevant majors.
- Hands-on experience with applying machine learning methods for ranking.
- Strong software development experience and strong coding skills, especially in Python/C++. Experience with Tensorflow/PyTorch/MXNet is a plus.
- Experience with recommender system projects.
- Familiarity with online experimentation methods and analytics. Essential knowledge and skills in statistics.
- Curiosity toward new technologies and entrepreneurship.
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 https://shorturl.at/cdpT2
【BC - For Pay Transparency】Compensation Description (annually)
The base salary range for this position in the selected city is CAD$ 117000- CAD$ 210960 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.
The compensation for this position is based on a monthly compensation structure. The range specified is the expected annual compensation for a person in this position.
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 and dependent's extended health care insurance. As well as Short/Long term Disability, Basic Life, Survivor Benefit and AD&D insurance plans.
Our time off and leave plans are: 11 paid holidays per year plus 19 days of vacation (prorated upon hire and increased by tenure) and 7 paid sick days per year as well as 13 weeks of supplemental paid maternity leave top-up and 10 weeks of Supplemental Paid Parental Leave top-up.
We also provide generous benefits such as RRSP company match, EAP, gym and cell phone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
Yearly based
Vancouver
