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Staff/Senior Machine Learning Scientist (Ad Cloud) - Tokyo,Japan

Appier

Tokyo, JapanFull-timeNo compensation foundPosted 4mo agoVerified open 4 days ago
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At a glance

Compensation
No compensation found
Location
Tokyo, Japan
Schedule
Full-time
Work Authorization
Visa required • Visa sponsorship

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Appier is hiring a Staff/Senior Machine Learning Scientist (Ad Cloud) - Tokyo,Japan. Appier seeks a Senior Machine Learning Scientist in Tokyo to develop and productionize advanced machine learning models that boost advertising campaign efficiency and ROI. The role involves analyzing massive user and auction data, uncovering predictive patterns, and collaborating across product, data, and engineering teams to deliver robust, scalable solutions in a fast‑moving ad‑tech environment.

Key focus areas include 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., and Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions..

Successful candidates bring Bachelor's Degree In Computer Science Mathematics EE Or Related Field, 4+ Years Industry Experience In Ad Tech, and Applied Machine Learning Experience. Important skills include Python, PyTorch, TensorFlow, Ownership, Collaboration, and Applied Machine Learning. Preferred (not required): High-Throughput Systems, Low-Latency Real-Time Systems, RTB Engines, and Stream Inference.

Skills & qualifications

RequiredNice to have

Skills

PythonPyTorchTensorFlowOwnershipCollaborationHigh-Throughput SystemsLow-Latency Real-Time SystemsRTB EnginesStream InferenceApplied Machine LearningCTR PredictionRecommender SystemsLead End-to-End ProjectsHigh-Throughput Real-Time SystemsMachine LearningHigh-Throughput, Low-Latency Real-Time SystemsMachine Learning AlgorithmsBiddingPricingPersonalized Content RecommendationSystem RobustnessScalabilityML ModelsData AnalysisPredictive PatternsAlpha SignalsOffline ExperimentationOnline TestingA/B TestsIncremental LearningDeep LearningAd TechReal-Time SystemsA/B TestingLeadershipState-of-the-Art ML ModelsPerformance OptimizationStrong OwnershipCollaboration SkillsBidding ModelsPricing ModelsPersonalized Content DeliveryLow‑Latency Stream InferenceProject LeadershipML FrameworksLow‑Latency SystemsLarge-Scale Data Analysis

Qualifications

Bachelor's Degree in Computer Science Mathematics EE or Related FieldMaster's Degree or PhD Preferred4+ Years Industry Experience in Ad Tech

Full job description

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.

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.
  • 4+ 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).

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