Machine Learning Engineer Graduate (Trust & Safety) - 2023 Start (PhD)

Company:  TikTok
Location: San Jose
Closing Date: 06/11/2024
Salary: £250 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / 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.

Our Trust and Safety engineering team is responsible for developing state-of-the-art machine learning models and algorithms to protect our platform and users from bad content and abusive behaviors. With the continuous efforts from our trust and safety team, TikTok is able to provide the best user experience and bring joy to everyone in the world.

As a University Graduate Machine Learning Engineer, you'll have the chance to work with our clients and teams to address key business problems and identify areas of growth for the company. With your education and experience, you will be able to take on real-world challenges from day one.

Key Responsibilities

  1. Work with our world-class engineers to build industry-leading trust and safety systems for TikTok
  2. Develop and build up highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies
  3. Improve our trust and safety strategy and work on model iterations
  4. Collaborate with cross-functional teams to protect TikTok globally

Qualifications

  1. Currently pursuing your PhD degree in Computer Science or related engineering field
  2. Solid knowledge in at least one of the following areas: machine learning, computer vision, NLP, multi-modal models, or data mining.
  3. Good understanding of data structures and algorithms
  4. Great communication and teamwork skills
  5. Passion about techniques and solving challenging problems

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.

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:

Compensation Description (annually)

The base salary range for this position in the selected city is $136800 - $259200 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.

#J-18808-Ljbffr
Apply Now
Share this job
TikTok
  • Similar Jobs

  • Machine Learning Engineer Graduate (Trust & Safety) - 2024 Start (PhD)

    San Jose
    View Job
  • Machine Learning Engineer Graduate (AML Algorithm) - 2025 Start (PhD)

    San Jose
    View Job
  • Machine Learning Engineer Graduate (Content Ecology) - 2025 Start (PhD)

    San Jose
    View Job
  • Machine Learning Engineer Graduate (Content Ecology) - 2025 Start (PhD)

    San Jose
    View Job
  • Machine Learning Engineer Graduate (Data-eCommerce) - 2024 Start (PhD)

    San Jose
    View Job
An error has occurred. This application may no longer respond until reloaded. Reload 🗙