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TikTok

Machine Learning Engineer Graduate (Monetization Technology-Search Ads) - 2024 Start (PhD)

San Jose, CA

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.

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Join us.

The TikTok Search Ads (TTSA) team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TikTok Shop, TopBuzz, BuzzVideo, and more, building a globally leading Search monetization system. At TTSA team, you'll have the opportunity to engage with large-scale distributed architecture, NL, and ML-related problems, and explore the most cutting-edge technologies like LLM and AIGC. You will also be deeply involved in the innovation and optimization of our Ad format, create display, and the ROI of ads delivery. We are looking for candidates who have strong enthusiasm, and share a passion for tackling complexity and developing our Search Ads product from 0 to 1 with a world-class team of passionate engineers.

We are looking for talented individuals to join our team in 2024. 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, 2024
2. February 5, 2024
3. March 4, 2024
4. May 20, 2024
5. June 10, 2024
6. July 15, 2024
7. August 12, 2024
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 as early as possible.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Online Assessment
Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.

Responisbilities
- Encompass the development and fine-tuning of NLP strategies like query understanding, semantic mining, LLM algorithms, knowledge graph, and multi-model text/photo/video comprehension, etc.
- Harnessing data analysis, feature engineering ,and state-of-the-art deep learning models, you are about to improve CTR/CVR model efficiency to boost ads delivery performance.
- Diving deep into the innovation of our Ad format and creatives, you are able to explore AIGC technology on innovative text/image/video creation, to optimize ROI of ad delivery
- Focus on ads pacing algorithms and traffic control
- Collaborate with product managers and marketing teams, and play a pivotal role in shaping product strategy and drive incremental revenue growth

Qualifications

- 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.
- Experience with one or more general purpose programming language including but not limited to: Go, C/C++, Python.
- Ability to think critically and formulate solutions to problems in a clear and concise way.

Preferred Qualifications
- PhD degree and research experience in NLP area, has published high-quality papers in top conferences/journal, like ACL/EMNLP/NAACL/NIPS...
- Experience with one or more of the following: Machine Learning, Deep Learning, NLP, LLM, ranking systems, recommendation systems.
- Solid communication and collaboration skills with the ability to work effectively with internal teams in a global and cross-functional environment.

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 earlycareers.accommodations@tiktok.com.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $228000 - $360000 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.

Client-provided location(s): San Jose, CA, USA
Job ID: TikTok-7267924549743495481
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • HSA
    • Life Insurance
    • Fitness Subsidies
    • Short-Term Disability
    • Long-Term Disability
    • On-Site Gym
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Snacks
    • Pet-friendly Office
    • Happy Hours
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
  • Financial and Retirement

    • 401(K) With Company Matching
    • Performance Bonus
    • Company Equity
  • Professional Development

    • Promote From Within
    • Access to Online Courses
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Mentor Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)

Company Videos

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