Senior Machine Learning Engineer - TikTok Search Business

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.

Our team is responsible for providing TikTok search users with first-class search experience by building a strong and robust infrastructure and platform to support product fast iteration and key feature development. In our team, you'll have the opportunity to take part in developing the key features on TikTok Search, understand how TikTok Search could be evolved to be a multi-billion-user product and first-handed experience how user request varies on this giant from time to time. We also build a search inspiration recommendation system for creators, providing them with insights based on real users' search queries. This key capability enriches both the quality and quantity of TikTok's search content ecology and enhances users' search experiences. We promote a culture of self-driven innovation, intellectual curiosity, openness, and problem-solving.

Responsibilities

• Support business development of TikTok Search, provide the best search experience for TikTok users and further enable content growth.
• Leverage modern machine learning, LLM and recommendation/search/ads experience to improve search products.
• Build search inspiration recommendation system, and develop algorithms to improve recommendation quality.
• Drive strategy work, partner with cross function teams and mentor team members.

Qualifications
Minimum Qualifications

• Hands-on experience of leading the development of one or more of Search, Recommendation, Ads, NLP, LLM and large-scale distributed systems.
• Proficiency in one or more programming languages, including Python, C/C++, Golang, Java or Scala.

Preferred Qualifications

• Bachelor's or advanced degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• 3 years of machine learning related industry experience
• Decent understanding of modern search/recommendation/ads and machine learning systems. Ability to apply machine learning algorithms to real business products and drive business growth.
• Ability to partner closely with teams within the organization and with customers to execute on the vision for the long-term success of our product teams.

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
The base salary range for this position in the selected city is $194000 - $355000 annually.

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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.

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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:

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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.

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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.

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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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For Los Angeles County (unincorporated) Candidates:
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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:

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1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

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2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

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3. Exercising sound judgment.#J-18808-Ljbffr