Senior Machine Learning Scientist - Advertising Cloud Optimization

Appier Japan
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team. The successful candidate will leverage scientific methods to improve ads measurement and drive online experiments to continuously improve ads effectiveness.

Key Highlights
Measure ads incrementality on different types of traffic, creative, users
Improve campaign efficiency on combination having good incrementality by machine learning model and AI automation
Partner with product stakeholders, backend, and frontend to provide measurement solutions for customers
Technical Skills Required
Python SQL PyTorch TensorFlow
Benefits & Perks
Visa sponsorship for international candidates
Relocation package for international candidates

Job Description


About Appier

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

Open to overseas candidates/Visa Support

This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

In this role, you'll measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation.

What You’ll Work On

  • Leverage scientific methods to improve ads measurement.
  • Drive online experiments to continuously improve ads effectiveness.
  • Own the project independently.
  • Partner with product stakeholder, backend and frontend to provide measurement solution for our customers.

What We’re Looking For

  • Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field.
  • 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the assumption and difference across methods.
  • Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
  • Strong ownership and collaboration skills.

Language

Fluent in English or Chinese.


Similar Jobs

Explore other opportunities that match your interests

Visa Sponsorship Relocation Remote
Job Type Full-time
Experience Level Associate

smartnews

Japan

Cloud Engineer for AI/Machine Learning Systems

Machine Learning
13m ago

Premium Job

Sign up is free! Login or Sign up to view full details.

•••••• •••••• ••••••
Job Type ••••••
Experience Level ••••••

Actalent

United State

Machine Learning Engineer

Machine Learning
5h ago
Visa Sponsorship Relocation Remote
Job Type Full-time
Experience Level Mid-Senior level

3ds.gr

Germany

Subscribe our newsletter

New Things Will Always Update Regularly