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

$106,590 - $139,650/Yr

Tiktok - Seattle, WA

Full-time - Entry 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 to over 1 billion users globally. The Web Ads and Open-loop E-commerce team at TikTok is dedicated to enhancing advertiser experiences and technical excellence. This team collaborates with advertisers across various sectors, including E-commerce, Retail, and Travel, to position 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 focused on developing next-generation web ad solutions. As a Machine Learning Engineer, you will be instrumental in refining our delivery system to optimize for advertisers' true business objectives, enhancing user value and ROI effectiveness. You will collaborate with a diverse, global team of talented engineers and work closely with cross-functional teams to establish meaningful connections between users, advertisers, and TikTok. This role offers the opportunity to build scalable machine learning systems and state-of-the-art models aimed at improving ad ranking quality and optimizing marketing strategies. You will engage in exploring and developing new features to enhance model accuracy and leverage modern machine learning techniques to boost ad relevance and quality. In this position, you will also collaborate with Product Managers, Designers, and other stakeholders to innovate the next generation of shopping experiences on TikTok, ensuring that our advertising solutions meet the evolving needs of our users and clients.

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 terms like 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 a company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans.
• Flexible Spending Account (FSA) options for Health Care, Limited Purpose, 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.