Job Details

Direct message the job poster from Mintegral

Global Talent Acquisition | Building Diverse Teams | Driving Growth through Innovative Hiring Solutions | Global HR Business Partner| Advocate…

About Us

Mintegral is an AI-driven, programmatic, and interactive advertising platform dedicated to helping clients bridge the gap among the world's most valuable markets. As a leading global mobile ad platform with an in-depth understanding of local markets, we provide a one-stop mobile advertising solution to help you overcome cross-regional challenges and grow your app on a global scale.

About This Role

We are seeking a talented and driven Machine Learning Engineer to join our dynamic team, focused on the research and application of machine learning algorithms in the field of computational advertising. In this role, you will play a key part in integrating business-driven algorithm implementation with cutting-edge technical innovation. By designing ad system mechanisms and optimization strategies, you will contribute to achieving optimal user-ad matches and maximizing the commercial value of traffic.

Job Responsibilities:

• Research and application of machine learning algorithms in computational advertising, integrating business-driven algorithm implementation with technical innovation.
• Design ad system mechanisms and optimization strategies to achieve optimal user-ad matches and maximize the commercial value of traffic.
• Design algorithms for advertiser mechanisms (e.g., smart bidding), traffic and platform mechanisms (e.g., real-time control algorithms, calibration algorithms), to support sustainable growth in ad revenue.
• Build capabilities for various prediction models, including traffic cost prediction, traffic value estimation, and probability estimation for deep conversion events.
• Research cutting-edge machine learning technologies to address challenges in ad delivery and optimization.

Job Requirements:

• Master's degree or above in Computer Science, Software Engineering, Automation, Electronics, or related fields.
• 3-5 years of relevant experience is preferred.
• Strong logical thinking, problem abstraction and modeling skills, and data analysis capabilities.
• Proficiency in machine learning, operations research, control algorithms, and computational advertising.
• Solid engineering and coding skills with a strong technical foundation.
• Practical experience in computational advertising or recommendation systems is highly preferred.

Benefits:

• Competitive pay package that includes a base salary and bonus.
• Traditional benefits including Health, Dental and Life Insurance and 401(k) plan as well as Short-term and Long-term Disability.
• Generous paid time off starting at 4 weeks + 5 sick days and 9 Holidays per year.
• Ongoing growth and development opportunities including training, on-the-job experiences.

Seniority level

Associate

Employment type

Full-time

Job function

Information Technology and Engineering

Industries

Software Development, Technology, Information and Media, and Advertising Services