Careers
Want to join our team?
All Positions
- Under the guidance of senior colleagues, participate in the development, testing, and maintenance of specific functional modules.
- Collaborate with the team to improve data pipelines, optimize model inference performance, and enhance monitoring systems through data analysis and real-time monitoring.
- Proactively identify potential issues and optimization opportunities within the ad delivery system.
- Actively participate in technical discussions, proactively learn, and experiment with new technologies to solve practical problems.
- Experience: 0-3 years of work experience. No prior experience in the advertising industry is also acceptable
- Education: Bachelor's degree from top university or a QS Top 100 institution. A background in foundational disciplines such as Architecture, Software Engineering, Mathematics, Physics, Statistics, or Computer Science is preferred.
- Strong Learning Ability & Self-Drive: Demonstrated by a stellar academic record and/or significant personal/open-source project contributions that prove your ability to learn new concepts rapidly.
- Exceptional Logical Thinking: Ability to deconstruct complex problems effectively and reason clearly.
- Passion & Proactiveness: Energetic and driven, with the ability to maintain a positive mindset under pressure, proactively solve problems, and strive for positive outcomes.
- Resilience & Grit: Willingness to tackle repetitive, complex, and challenging tasks, and the ability to develop efficient personal work methodologies.
- Proficient Data Analysis Skills: High sensitivity to data and strong analytical ability. Capable of writing independent data analysis reports. Proficiency in SQL (e.g., MySQL) is a strong plus.
- Nice-to-Have :Awards from competitions like ACM/Mathematical Modeling/Kaggle. Or a high-quality technical blog or GitHub profile.
- End-to-End Algorithm Ownership: Take charge of the entire algorithm lifecycle, from problem definition and solution design to experimental validation and live deployment.
- Technical Leadership & System Architecture: Lead the charge on critical technical challenges, optimizing system performance, and ensuring high availability and scalability.
- Data-Driven Optimization & Innovation: Continuously enhance the monetization efficiency and user experience of our advertising system through sophisticated data analysis and algorithmic innovation, focusing on model inference performance and monitoring systems.
- Proactive Problem Solving: Actively identify latent issues and optimization opportunities within the ad delivery ecosystem. Champion technical discussions and pioneer the application of new technologies.
- Business-to-Technology Translation: Deeply understand business needs and rapidly translate them into clear, executable technical plans, driving them to completion.
- Mentorship & Elevation: Act as a technical mentor for the team, elevating overall technical prowess through code reviews, technical sharings, and leading by example.
- Technology Evangelism: Maintain a keen sense of industry trends, introducing and implementing new technologies and ideas to foster a culture of continuous innovation within the team
- Experience: 5+ years of hands-on, frontline experience in a relevant field.
- Education: Bachelor's degree from a top university or a QS Top 100 institution. A background in foundational disciplines (Architecture, Software Engineering, Mathematics, Physics, Statistics, Computer Science) is preferred.
- Solid Foundation: Proficiency in at least one mainstream programming language (e.g., Java, Go, Python, C++), with a deep understanding of data structures, algorithms, operating systems, and networking.
- Proven Track Record: Experience with large-scale, successful projects is a strong plus, particularly in a technical leadership or core contributor capacity.
- Cutting-Edge Knowledge: Demonstrated commitment to continuous learning, with practical experience in leading-edge technologies such as Cloud Computing, LLMs, and Agentic AI.
- Systematic Thinking: Proven experience in holistically optimizing advertising systems, with the ability to analyze the role and optimization goals of each module from a data-cycle perspective.
- ML/Modeling Expertise: 3+ years of practical experience with sample spaces, feature design, and model architecture. Background in generative recommendation/LLMs is highly preferred.
- RTB Expertise: Hands-on experience with RTB strategy (e.g., cold start, budget pacing, model calibration, bidding strategies) is a significant advantage.
- First-Principles Thinking: A habit of using logical deduction over pure reliance on experience when designing solutions.
- Personal Attributes: Passion & Drive,Superior Logic & Architecture Skills,Proactive & Resilient,Exceptional Communication
Operation
Technology
- Under the guidance of senior colleagues, participate in the development, testing, and maintenance of specific functional modules.
- Collaborate with the team to improve data pipelines, optimize model inference performance, and enhance monitoring systems through data analysis and real-time monitoring.
- Proactively identify potential issues and optimization opportunities within the ad delivery system.
- Actively participate in technical discussions, proactively learn, and experiment with new technologies to solve practical problems.
- Experience: 0-3 years of work experience. No prior experience in the advertising industry is also acceptable
- Education: Bachelor's degree from top university or a QS Top 100 institution. A background in foundational disciplines such as Architecture, Software Engineering, Mathematics, Physics, Statistics, or Computer Science is preferred.
- Strong Learning Ability & Self-Drive: Demonstrated by a stellar academic record and/or significant personal/open-source project contributions that prove your ability to learn new concepts rapidly.
- Exceptional Logical Thinking: Ability to deconstruct complex problems effectively and reason clearly.
- Passion & Proactiveness: Energetic and driven, with the ability to maintain a positive mindset under pressure, proactively solve problems, and strive for positive outcomes.
- Resilience & Grit: Willingness to tackle repetitive, complex, and challenging tasks, and the ability to develop efficient personal work methodologies.
- Proficient Data Analysis Skills: High sensitivity to data and strong analytical ability. Capable of writing independent data analysis reports. Proficiency in SQL (e.g., MySQL) is a strong plus.
- Nice-to-Have :Awards from competitions like ACM/Mathematical Modeling/Kaggle. Or a high-quality technical blog or GitHub profile.
- End-to-End Algorithm Ownership: Take charge of the entire algorithm lifecycle, from problem definition and solution design to experimental validation and live deployment.
- Technical Leadership & System Architecture: Lead the charge on critical technical challenges, optimizing system performance, and ensuring high availability and scalability.
- Data-Driven Optimization & Innovation: Continuously enhance the monetization efficiency and user experience of our advertising system through sophisticated data analysis and algorithmic innovation, focusing on model inference performance and monitoring systems.
- Proactive Problem Solving: Actively identify latent issues and optimization opportunities within the ad delivery ecosystem. Champion technical discussions and pioneer the application of new technologies.
- Business-to-Technology Translation: Deeply understand business needs and rapidly translate them into clear, executable technical plans, driving them to completion.
- Mentorship & Elevation: Act as a technical mentor for the team, elevating overall technical prowess through code reviews, technical sharings, and leading by example.
- Technology Evangelism: Maintain a keen sense of industry trends, introducing and implementing new technologies and ideas to foster a culture of continuous innovation within the team
- Experience: 5+ years of hands-on, frontline experience in a relevant field.
- Education: Bachelor's degree from a top university or a QS Top 100 institution. A background in foundational disciplines (Architecture, Software Engineering, Mathematics, Physics, Statistics, Computer Science) is preferred.
- Solid Foundation: Proficiency in at least one mainstream programming language (e.g., Java, Go, Python, C++), with a deep understanding of data structures, algorithms, operating systems, and networking.
- Proven Track Record: Experience with large-scale, successful projects is a strong plus, particularly in a technical leadership or core contributor capacity.
- Cutting-Edge Knowledge: Demonstrated commitment to continuous learning, with practical experience in leading-edge technologies such as Cloud Computing, LLMs, and Agentic AI.
- Systematic Thinking: Proven experience in holistically optimizing advertising systems, with the ability to analyze the role and optimization goals of each module from a data-cycle perspective.
- ML/Modeling Expertise: 3+ years of practical experience with sample spaces, feature design, and model architecture. Background in generative recommendation/LLMs is highly preferred.
- RTB Expertise: Hands-on experience with RTB strategy (e.g., cold start, budget pacing, model calibration, bidding strategies) is a significant advantage.
- First-Principles Thinking: A habit of using logical deduction over pure reliance on experience when designing solutions.
- Personal Attributes: Passion & Drive,Superior Logic & Architecture Skills,Proactive & Resilient,Exceptional Communication
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