Machine Learning Engineer Graduate (Brand Ads) - 2026 Start (BS/MS)
Skip the busywork
ApplyBolt rewrites your resume for this exact role and hits submit. You just pick the jobs.
About this role
Responsibilities
The Brand Ads Team builds technologies that unlock business growth potential. This team owns several ads products: reservation ads, auction ads, and innovative content ads that enables advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
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 by 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.
Qualifications
Minimum Qualifications:
- Final year or recent graduate with a background in Computer Science, Computer Engineering or other relevant majors, with 3+ 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
Preferred Qualifications:
- 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.