Tiktok - Seattle, WA

posted about 2 months ago

Full-time - Mid Level
Seattle, WA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. U.S. Data Security (USDS) is a subsidiary of TikTok in the U.S., created to enhance focus and governance on our data protection policies and content assurance protocols to ensure the safety of U.S. users. Our commitment is to provide oversight and protection of the TikTok platform and U.S. user data, allowing millions of Americans to continue using TikTok for learning, earning, creative expression, and entertainment. The teams within USDS, including Trust & Safety, Security & Privacy, Engineering, User & Product Ops, and Corporate Functions, work diligently to uphold this commitment every day. The Search Ads team is at the forefront of innovating search engine monetization across TikTok and its associated apps, such as TopBuzz and BuzzVideo. As a Machine Learning Engineer on this team, you will engage in the development of a large-scale Ads system, focusing on relevance model optimization, algorithm development, and enhancing NLP capabilities. You will tackle complex challenges in areas such as semantic matching, ranking strategies, and ad performance metrics. This role offers the opportunity to work collaboratively with product managers and operations teams to define product strategies and features, contributing to the growth and success of our Search Ads product from inception to execution. In our hybrid work environment, employees are expected to work in the office three days a week, with flexibility based on departmental needs. This model is regularly reviewed, and specific requirements may evolve over time. We are looking for candidates who are passionate about overcoming challenges and are eager to contribute to the development of our Search Ads product alongside a world-class team of engineers.

Responsibilities

  • Participate in the development of a large-scale Ads system
  • Responsible for relevance model and strategy optimization, such as semantic matching models, text/photo/video multi-model, ranking strategy, etc.
  • Participate in the development and iteration of Ads algorithms using Machine Learning
  • Work on NLP (Natural Language Processing) capability improvement and query understanding, including query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, bidword optimization, etc.
  • Work on CTR/CVR model estimation accuracy, data analysis, modeling, and feature engineering
  • Research and develop Ads pacing algorithms and ads traffic control
  • Partner with product managers and product strategy & operation team to define product strategy and features

Requirements

  • BS degree in Computer Science, Computer Engineering or other relevant majors
  • Excellent programming, debugging, and optimization skills in general purpose programming languages
  • Ability to think critically and to formulate solutions to problems in a clear and concise way.

Nice-to-haves

  • Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python
  • Good understanding in one of the following domains: ad fraud detection, risk control, quality control, adversarial engineering, and online advertising systems
  • Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack.

Benefits

  • 100% premium coverage for employee medical insurance
  • Approximately 75% premium coverage for dependents
  • Health Savings Account (HSA) with company match
  • Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans
  • Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care
  • 10 paid holidays per year
  • 17 days of Paid Personal Time Off (PPTO)
  • 10 paid sick days per year
  • 12 weeks of paid Parental leave
  • 8 weeks of paid Supplemental Disability
  • Mental and emotional health benefits through EAP and Lyra
  • 401K company match
  • Gym and cellphone service reimbursements
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