Machine Learning Engineer, Ads Targeting

$137,750 - $237,500/Yr

Tiktok - Seattle, WA

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, with a mission to inspire creativity and bring joy. The Ads Targeting team plays a crucial role in helping advertisers reach their desired audience and optimize advertisement performance. As a member of the Ads Targeting, Ads Core team, you will apply machine learning models to scale budgets by understanding user interest and intention, and build large-scale foundations for data processing and serving for next-generation ad targeting products. This team is working on a variety of products such as custom audience, interest, behavior, lookalike, auto targeting, and innovative features. In this role, you will be responsible for the development of state-of-the-art applied machine learning projects. You will own key targeting components or strategies in the TikTok ads monetization ecosystem and build scalable platforms and pipelines for ads targeting products. Collaboration with product and business teams will be essential to align on the product vision and ensure that the delivery system optimizes for advertisers' true business objectives, focusing on desired user value and effectiveness of ROI. You will have the opportunity to work with a fully globalized team made up of talented engineers from different countries, fostering a collaborative environment that drives impact for users, advertisers, and TikTok as a whole.

Responsibilities

• Responsible for the development of state-of-the-art applied machine learning projects.
• Own key targeting components or strategies in the TikTok ads monetization ecosystem.
• Build scalable platforms and pipelines for ads targeting products.
• Work with product and business teams on the product vision.

Requirements

• BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, with 3+ years of related experience.
• Hands-on experience in one or more of the following areas: machine learning, deep learning, statistical models and applied mathematical methods.
• Strong coding skills, especially in Python/C++/Go. Experience with high-load systems.
• Familiarity with online experimentation and analytics.
• Familiarity with big data systems including Hadoop and Spark.
• Curiosity towards new technologies and entrepreneurship.

Nice-to-haves

• Experience in reinforcement learning, transfer learning, and counter-factual optimization is a plus.
• Understanding of the business value of online advertising.
• Experience with user modeling using deep learning methods from large scale datasets. Experience with privacy preserving modeling techniques is a plus.
• Experience in developing modern ads ranking/retrieval/targeting systems and recommender systems.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
• Health Savings Account (HSA) with a 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 plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure).
• 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match.
• Gym and cellphone service reimbursements.