Machine Learning Engineer, Shop Ads

$136,800 - $205,000/Yr

Tiktok - San Jose, CA

Full-time - Mid 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 Closed-loop Shop Ads team at TikTok is dedicated to technical excellence and has a strong user focus. We are looking for Machine Learning Engineers who are eager to enhance their business understanding, develop highly scalable and reliable software, and collaborate with global teams to achieve excellence. In this role, you will apply state-of-the-art machine learning techniques to optimize advertisers' marketing strategies, directly connect with businesses to understand their needs, and work alongside Product Managers and Designers to explore innovative shopping experiences on TikTok. You will also capitalize on organic shopping behaviors on TikTok to provide value to users and businesses alike.

Responsibilities

• Apply state-of-the-art machine learning techniques to optimize advertisers' marketing strategies.
• Connect with businesses directly to understand and develop solutions for their jobs-to-be-done.
• Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.
• Capitalize on the organic shopping behaviors on TikTok today and facilitate retentive behaviors to provide more people value and business value.

Requirements

• BS/MS degree in Computer Science or similar fields, with 3+ years of related industry experience.
• Solid programming skills, proficient in Python/Golang/Java/C/C++.
• Familiarity with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet) and its architecture and implementation mechanism.
• Familiarity with deep learning algorithms (CNN/RNN/LSTM, etc.).
• Team-player with strong communication skills who can also work independently.

Nice-to-haves

• Familiarity with main components for Ads systems, including bidding, ranking, and auction.
• Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).

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) 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.