Software Engineer, Ads Core- Traffic

Company:  TikTok
Location: Seattle
Closing Date: 03/11/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Responsibilities

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 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.

What You'll Do

  1. Build highly scalable machine learning systems/models to improve ads ranking results.
  2. Explore, develop and experiment with new features to improve model accuracy.
  3. Understand ads platform objectives and take full advantage of modern machine learning to improve ad quality, relevancy, and select the best ad formats delivered to end-users.
  4. Develop robust core systems and algorithms, including ads format selection system, ads ranking system, model serving system, etc.

Qualifications
Minimum Qualifications:
  1. BS/MS degree in Computer Science or related engineering fields with software development experience.
  2. Strong coding skills, especially in Python/C++/Go/SQL, and solid foundation of knowledge in data structures and algorithms.
  3. Knowledge of and hands-on experience with big data processing and parallel computing frameworks, such as Hadoop and Spark.
  4. Business acumen and excellent problem-solving, project management, and analytical skills.

Preferred Qualifications:
  1. Experience in building high-load distributed systems or data processing pipelines.
  2. Experience in building and troubleshooting machine learning workloads on distributed systems is a plus.
  3. Experience in developing modern ads ranking/retrieval/targeting systems and recommender systems.

Job Information:
Compensation Description (annually)

The base salary range for this position in the selected city is $130500 - $225000 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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