Brand Ads Machine Learning Engineer

*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.