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

$112,200 - $147,000/Yr

Tiktok - San Jose, CA

Full-time - Entry Level

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. The Web Ads and Open-loop E-commerce team at TikTok is focused on enhancing advertiser experiences and technical excellence. This team collaborates with advertisers across various sectors, including E-commerce, Retail, and Travel, to establish TikTok as a vital growth channel for businesses and a preferred platform for consumers to discover and purchase products and services. The team plays a crucial role in driving TikTok's advertising revenue and is dedicated to developing next-generation web ad solutions. As a Machine Learning Engineer, you will be instrumental in refining the existing delivery system that aligns with advertisers' true business objectives, focusing on user value and ROI effectiveness. You will collaborate with a diverse, global team of talented engineers and work closely with cross-functional teams to create meaningful connections between users, advertisers, and TikTok. Your responsibilities will include building scalable machine learning systems and advanced models to enhance ad ranking quality and optimize marketing strategies. You will also explore and experiment with new features to improve model accuracy and leverage modern machine learning techniques to enhance ad relevance and quality. This position offers a unique opportunity to contribute to the evolution of shopping experiences on TikTok, working alongside Product Managers, Designers, and other professionals to innovate and improve the platform's advertising capabilities.

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 1+ 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 programming framework (TensorFlow/PyTorch/MXNet).

Nice-to-haves

• Good understanding of ads bidding & auction, ads quality control, and online advertising systems (familiar with CPC/CPM, CTR/CVR, Ranking/Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB).
• Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).
• Relevant work or research experiences in search and recommendation.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% for dependents, and a 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 for healthcare and dependent care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 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.