Tech Lead Machine Learning Engineer, TikTok Branding Ads

$212,800 - $389,500/Yr

Tiktok - Los Angeles, CA

Full-time - Senior

Los Angeles, 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 Brand Ads team at TikTok focuses on enabling brands to grow and succeed on the platform by creating cutting-edge monetization products that empower users, creators, and advertisers. This team is responsible for several ad products, including reservation ads, auction ads, and innovative content ads, which help advertisers and users foster brand awareness and achieve business goals. The team works on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting. As a Tech Lead Machine Learning Engineer, you will be responsible for creating innovative monetization products that drive engagement and revenue. You will participate in the development of a large-scale Ads system and contribute to the development and iteration of Ads algorithms using Machine Learning. Your work will involve technologies related to Natural Language Processing (NLP) and Computer Vision (CV) for content understanding and taxonomy. This role offers the opportunity to partner closely with global engineering and product teams in a high-impact and fast-paced environment, contributing to the success of a rapidly growing organization with speed and quality.

Responsibilities

• Create innovative monetization products that drive engagement and revenue.
• Participate in the development of a large-scale Ads system.
• Participate in the development and iteration of Ads algorithms using Machine Learning.
• Work on NLP and CV related technology for content understanding and taxonomy.
• Contribute to the success of a rapidly growing and evolving organization with speediness and quality.

Requirements

• BS degree in Computer Science, Computer Engineering or other relevant majors, with 7+ years of related work experience.
• Excellent programming, debugging, and optimization skills in one or more general purpose programming languages including but not limited to: Go, C/C++, Python.
• Ability to think critically and to formulate solutions to problems in a clear and concise way.
• Relevant professional experience with machine learning, data mining, data analysis, distribution system.
• Good understanding in one of the following domains: brand ads, content ads, auction, bidding, ranking, and ads forecasting.
• Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
• Good product sense and experience designing and implementing product features.

Benefits

• 100% premium coverage for employee medical insurance
• Approximately 75% premium coverage for dependents
• Health Savings Account (HSA) with company match
• Dental insurance
• Vision insurance
• Short/Long term Disability insurance
• Basic Life insurance
• 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 reimbursement
• Cellphone service reimbursement