Machine Learning Engineer Graduate

1 week ago


Seattle, Washington, United States TikTok Full time

Machine Learning Engineer Graduate (E-commerce Governance Algorithms Start (PhD)


Seattle
Regular
R&D
Graduates- 2025 Start
Job ID: A203541A


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.

Join us. Governance and Experience team of e-commerce are responsible for ensuring the safety and trustworth of the marketplace for not only our users, but also sellers and creators. We value our users' satisfaction by working on policies, rules and systems to ensure the quality.

We are looking for an algorithm technical manager who is obsessed with customer experience and passionate about building systems to detect various risks that can sabotage platform trust. We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities.

Co-create a future driven by your inspiration with TikTok. Successful candidates must be able to commit to one of the following start dates below: 1. January 15, 2025

2. February 5, March 4, May 20, 2025

5. June 17, July 15, August 12, 2025

8. September 3, 2025 We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.

Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for.

The application limit is applicable to TikTok and its affiliates' jobs globally. Responsibilities:

  • Work with a team to design and implement algorithms to detect and control risks/frauds in contents/products/sellers/creators
  • Collaborate with strategy team, product managers, policy team and ops team to help define products and drive initiatives from engineering viewpoints

Qualifications



Minimum Qualifications

  • Phd's degree in Computer Science or a related technical field.

Recent graduates are highly encouraged to apply

  • graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline;
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • An understanding or keen interest in machine learning, NLP, or computer vision.
  • Familiarity with programming languages such as C++, Python, Go, or Java.

Preferred Qualifications

  • Interest or experience in anti-fraud, anti-spam, platform-integrity, or similar fields would be a cherry on top.
  • A profound sense of responsibility, coupled with exceptional communication and teamwork skills

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 request via By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here:



Job Information



The base salary range for this position in the selected city is $ $194750 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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