Aarki

Staff Machine Learning Engineer

Aarki

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

Visit company website
✨ AI Apply
Apply

Salary

💰 $150,000 - $250,000 per year

Job Level

Lead

Tech Stack

JavaPythonPyTorchRustScalaScikit-LearnSparkSQLTensorflow

About the role

  • Develop and deploy machine learning models at scale to address key challenges in programmatic advertising, such as user response prediction, bid landscape forecasting, and fraud detection.
  • Conduct exploratory data analysis and apply statistical techniques to extract insights and support decision-making.
  • Build and maintain data pipelines to ensure efficient processing and integration of large-scale data for model training and evaluation.
  • Work closely with senior data scientists and cross-functional teams including product, engineering, and business units to integrate models into production systems and applications.
  • Assist in the development and implementation of best practices for model deployment, monitoring, and performance assessment.
  • Stay updated on recent developments in machine learning and data science, and apply relevant techniques to solve complex problems and enhance our platform.
  • Contribute to the exploration and adoption of new methodologies and technologies to advance our data science capabilities.

Requirements

  • Minimum of five (6) years in data science with practical experience in machine learning, statistical analysis, and data modeling.
  • Bachelor's degree in Mathematics, Physics, Computer Science, or a related technical field.
  • Master's degree in Mathematics, Physics, Computer Science, or related field is a plus.
  • Preferred experience with additional programming languages (e.g., Rust, C++, Java, Scala) and large-scale data processing systems.
  • Familiarity with RTB, auction theory, and high-throughput low-latency environments is a plus.
  • Proficiency in machine learning techniques such as regression, classification, and clustering.
  • Experience with Python and libraries like Scikit-Learn, TensorFlow/PyTorch.
  • Proficiency in Python and SQL.
  • Familiarity with Spark.
  • Strong understanding of probability, statistics, and data analysis.
  • Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.