Senior Machine Learning Engineer, Web Ads and Open-loop E-Commerce

$187,040 - $280,000/Yr

Tiktok - San Jose, CA

Full-time - Senior

San Jose, CA

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 company has a global presence with offices in major cities around the world, including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo. The Web Ads and Open-loop E-commerce team at TikTok is dedicated to technical excellence and focuses on providing strong advertiser support. This team collaborates with advertisers across various sectors, including E-commerce, Retail, and Travel, to establish TikTok as an essential growth channel for businesses and a preferred platform for consumers to discover and purchase products and services. As a Senior Machine Learning Engineer, you will play a crucial role in enhancing TikTok's delivery system, which optimizes for advertisers' true business objectives, such as user value and ROI effectiveness. You will have the opportunity to work with a globally diverse team of talented engineers and collaborate closely with cross-functional teams to create meaningful connections between users, advertisers, and TikTok. Your work will directly contribute to TikTok's advertising revenue and the development of next-generation web ad solutions. In this role, you will be responsible for building highly scalable machine learning systems and state-of-the-art models aimed at improving ad ranking quality and optimizing marketing strategies for advertisers. You will explore and experiment with new features to enhance model accuracy and leverage modern machine learning techniques to improve ad relevance and quality. Collaboration with Product Managers, Designers, and other disciplines will be essential as you work towards innovating the shopping experience on TikTok.

Responsibilities

• Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies.
• Explore, develop and experiment with new features to improve model accuracy.
• Understand ads platform objectives and leverage modern machine learning to enhance ads relevance, quality, and quantity delivered to end-users.
• Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.

Requirements

• BS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with 5+ years of related work experience.
• Solid programming skills in Go, C/C++, Python, and familiarity with basic data structures and algorithms.
• Good analytical thinking capability and essential knowledge in statistics.
• Strong theoretical grounding in machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.).
• Familiarity with the architecture and implementation of at least one mainstream machine learning framework (TensorFlow/PyTorch/MXNet).
• Good understanding of ads bidding & auction, ads quality control, and online advertising systems.
• Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).
• Relevant work or research experience in search and recommendation.

Benefits

• 100% premium coverage for employee medical insurance
• Approximately 75% premium coverage for dependents
• Health Savings Account (HSA) with company match
• Dental and Vision insurance
• Short/Long term Disability insurance
• Basic Life, Voluntary Life and AD&D insurance plans
• Flexible Spending Account (FSA) options
• 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