Machine Learning Engineer Graduate (Data-Search-TikTok Recommendation - San Jose) - 2025 Start (PhD)

Company:  TikTok
Location: San Jose
Closing Date: 02/11/2024
Salary: £250 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Responsibilities

TikTok is the leading destination for short-form mobile video. 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.

About the team

On the TikTok Search Team, you will have the opportunity to develop and apply cutting-edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.

Responsibilities:

  1. Participate in the improvement of the search core algorithm, possible directions include:
    1. Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search.
    2. User Behavior Modeling: Solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of "relevant", and understand users better.
    3. Video understanding: Comprehensive use of NLP, CV, and other technologies for better video understanding from the perspective of the video itself and social network, improve the authority, credibility, and usefulness of search results.

Qualifications

Minimum qualification:

  • Current or recent 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.
  • Proficient coding skills and strong algorithm & data structure basis.
  • Effective communication and teamwork skills.
  • Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.

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 $145000 - $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.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

  1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
  2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
  3. Exercising sound judgment.
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