Senior Software Engineer, Ads Targeting

$184,300 - $337,250/Yr

Tiktok - Seattle, WA

Full-time - Senior

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 optimizing advertisement placement and enhancing the effectiveness of ads for advertisers. As a Senior Software Engineer on this team, you will be responsible for designing and building large-scale foundations for data processing and serving next-generation ads targeting products. This includes applying machine learning models to scale budgets by understanding user interests and intentions. The team is engaged in developing various products such as custom audiences, lookalike audiences, and interest-based targeting, alongside innovative features that enhance the advertising experience. In this role, you will collaborate closely with product managers to define the strategy and features of ads targeting products, utilizing data-driven methods and keeping abreast of industry trends. Your responsibilities will include designing, optimizing, and implementing ads targeting strategies, improving infrastructure design, and maintaining both offline and online ad targeting products. You will also be tasked with extracting, aggregating, and syncing relevant data to generate audience insights, assisting advertisers in discovering the demographics, locations, devices, and interests that comprise their remarketing lists. This position is pivotal in ensuring that TikTok continues to provide a platform that not only inspires creativity but also drives effective advertising solutions for businesses.

Responsibilities

• Work with product managers to define ads targeting product strategy and features based on data-driven methods and industry trends.
• Design, optimize, and implement ads targeting strategies; improve infrastructure design and machine-learning methods; maintain and troubleshoot offline and online ad targeting products.
• Extract, aggregate, and sync all pertinent data to generate audience insights and help advertisers discover the demographics, locations, devices, and interests that make up their remarketing lists.

Requirements

• BS/MS degree in Computer Science or related engineering fields with 5+ years of software development experience.
• Strong coding skills, especially in Python/C++/Go/SQL, and solid foundation of knowledge in data structures and algorithms.
• Knowledge of and hands-on experience with big data processing and parallel computing frameworks, such as Hadoop and Spark.
• Business acumen and excellent problem-solving, project management, and analytical skills.

Nice-to-haves

• Experience in building high-load distributed systems or data processing pipelines.
• Experience in building and troubleshooting machine learning workloads on distributed systems 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.