Job Opportunities API

About Appier  Appier is an AI-native Agentic AI as a Service (AaaS) 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. Our engineering team has a solid technical background, which would be a great environment for a skilled engineer. In this role, you’ll directly impact the  efficiency and profitability  of ads campaigns by improving models for  bidding, pricing , and  personalized content recommendation , while ensuring system robustness and scalability in a dynamic market environment. What You’ll Work On Design, implement, and productionize  state-of-the-art ML models  to improve campaign outcomes. Analyze large-scale user and auction data to  discover predictive patterns and alpha signals  that enhance bidding and personalization. Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions. Continuously improve system performance through  offline experimentation and online testing  (e.g., A/B tests, incremental learning). What We’re Looking For Bachelor’s degree in Computer Science, Mathematics, EE, or related field;  Master’s or PhD  preferred. 5+ years of industry experience in ad tech , with a focus on performance optimization. Proven experience in  applied machine learning , especially in  CTR prediction ,  recommendation systems . Proficiency in Python and experience with modern ML frameworks ( PyTorch ,  TensorFlow , etc.). Strong ownership and collaboration skills—able to  lead end-to-end projects  across product, data, and engineering. Bonus: Experience working on  high-throughput, low-latency  real-time systems (e.g., RTB engines, stream inference). Language Fluent in English or Chinese. #LI-AK1