Research Scientist

AppLovin AppLovin · Media · Beijing, China · Platform Engineering

Research Scientist role focused on optimizing and improving machine learning models for ad tech, aiming to enhance ad delivery effectiveness and efficiency. Responsibilities include developing and refining ML models, collaborating on data pipelines and inference performance, staying updated on ML and ad tech advancements, identifying optimization opportunities, and designing experiments. Requires a Master's or PhD in a relevant field, strong ML fundamentals, and experience with model optimization and inference performance.

What you'd actually do

  1. 开发和改进广告投放相关的机器学习模型，提升模型的预测准确性和效果。
  2. 与跨职能团队合作，改进数据流水线，优化模型推理性能，完善监控系统。
  3. 持续关注机器学习和广告技术领域的最新进展，评估其对公司业务的潜在影响。将最新的研究成果应用于实际项目中，推动技术创新。
  4. 主动发现广告投放系统中的潜在问题和优化空间，提出可行的解决方案。并设计和执行实验，验证假设并优化模型和系统性能。
  5. 与我们才华横溢的机器学习工程师、数据科学家和软件工程师密切合作，无缝集成你的解决方案到我们的平台。

Skills

Required

  • Master's or PhD degree in Computer Science, Mathematics, Statistics, Machine Learning, or related fields
  • Solid theoretical foundation and practical experience in machine learning
  • Familiarity with common machine learning algorithms and tools (e.g., Python, TensorFlow, PyTorch)
  • Practical experience in model optimization and inference performance optimization
  • Excellent teamwork, communication, and collaboration skills
  • Strong learning ability and problem-solving skills

Nice to have

  • Experience in advertising technology or related fields
  • C++ development experience
  • Publications in top-tier conferences for recommender systems or advertising (e.g., KDD, NeurIPS, SIGIR, Recsys)

What the JD emphasized

  • 机器学习模型优化
  • 性能提升
  • 模型优化
  • 推理性能优化

Other signals

  • improving model prediction accuracy and effectiveness
  • optimizing model inference performance
  • applying latest research findings to practical projects