Brand Ads Machine Learning Engineer Full-time

*Company Overview**

We are a Tier 1 social media company,building the next generation of advertising technology that empowers brands to engage with their audience in new, innovative ways. Our Brand Ads team develops cutting-edge products that optimize ad spend, drive brand awareness, and foster meaningful consumer relationships. By combining advanced machine learning with immersive content experiences, we help brands grow and succeed in a rapidly evolving digital landscape. Join us and be part of a global team shaping the future of digital advertising!

*Job Description**

We are seeking a Senior Machine Learning Engineer to join our dynamic Brand Ads team. In this role, you’ll have the opportunity to shape the future of monetization on TikTok by developing cutting-edge machine learning models that drive brand awareness, engagement, and revenue. You will work on a variety of high-impact projects related to ads forecasting, bidding algorithms, content understanding, and more.

*Key Responsibilities**

• Lead the development of advanced forecasting models that enable advertisers to optimize ad spend and maximize ROI.
• Build innovative monetization products that enhance user engagement and boost revenue generation for brands.
• Work on scalable, high-performance ads systems, focusing on ads bidding, ranking, and content delivery.
• Collaborate on building ML-powered algorithms for ad personalization, recommendation systems, and ranking mechanisms.
• Leverage NLP and Computer Vision (CV) technologies to enhance content understanding and improve ad targeting.
• Contribute to the continuous evolution of TikTok’s ad tech stack, driving system reliability, scalability, and performance in a globally distributed environment.
• Partner closely with global engineering and product teams to drive impactful solutions at scale.

*Qualifications & Skills**

You are an experienced Machine Learning Engineer with a passion for solving complex problems and making a tangible impact. You have expertise in designing and optimizing large-scale systems and are eager to work in a fast-paced environment where every project presents new challenges and opportunities.

Minimum Qualifications:

• Strong proficiency in programming languages like Go, C/C++, Python (or other general-purpose languages).
• Proven ability to solve problems in a structured and efficient manner, with a critical thinking approach to system design.
• Experience with ads technologies (brand ads, auction systems, bidding, ranking, and forecasting) or similar domains.
• Hands-on experience with Machine Learning, including but not limited to forecasting, Deep Learning, NLP, ranking systems, or recommendation systems.
• Background in working with large-scale systems, data science, or backend engineering.
• A proven track record of contributing to and maintaining high-availability, high-performance systems.

Preferred Qualifications:

• BS/MS in Computer Science, Computer Engineering, or a related field, with 5+ years of relevant experience.
• Extensive experience with machine learning frameworks and techniques, including data mining, deep learning, and data analysis.
• Strong sense of product design, with experience translating business needs into technical solutions and implementing successful features.
• Familiarity with cloud technologies (AWS, GCP, etc.) and distributed systems is a plus.