Senior AI Research Engineer

6 days ago

San Francisco, California, United States Aarki Full time
About Us

Aarki, a pioneering AI-driven company, specializes in innovative mobile advertising solutions that drive revenue growth. Our expertise lies in leveraging AI to discover audiences in a privacy-first environment through contextual bidding signals and proprietary behavioral models.

We have developed a comprehensive audience engagement platform that includes creative strategy and execution. With over 14 years of experience, we handle 5 million mobile ad requests per second from over 10 billion devices, delivering exceptional performance for both publishers and brands.

Role Overview

We are seeking a highly skilled Senior AI Research Engineer to join our cutting-edge team. In this role, you will focus on developing and deploying advanced machine learning models, optimizing our programmatic demand-side platform (DSP). You will collaborate closely with technical experts, contributing to technical solutions and strategic initiatives, while driving innovations in machine learning and AI.

If you have a strong track record of building production-grade solutions and are eager to push the boundaries of AI and mobile advertising, we encourage you to apply. We offer a competitive salary, comprehensive benefits, and significant opportunities for career advancement.

Key Responsibilities
  • Design, develop, and implement sophisticated machine learning algorithms and data pipelines at scale for optimizing programmatic advertising, including user response prediction, bid landscape forecasting, fraud detection, and budget pacing strategies.
  • Conduct applied research and leverage findings to enhance our platform's performance and address complex business challenges.
  • Develop and maintain a framework for performance evaluation and iterative development to ensure continuous improvement and innovation.
  • Collaborate with cross-functional teams to integrate machine learning models into production systems and applications.
Requirements
  • Minimum 7 years of experience in data science, with a proven track record of delivering end-to-end, production-grade machine learning solutions across domains such as deep learning, recommender systems, optimization algorithms, and Bayesian inference.
  • Expertise in Python and experience with libraries like TensorFlow/PyTorch, Scikit-Learn, XGBoost, Spark, and SQL.
  • Experience with deploying machine learning models to production systems.
  • Strong problem-solving skills, with a deep understanding of probability, statistics, numerical optimization, and stochastic methods.
Compensation and Benefits

The estimated annual salary for this role is $250,000-$325,000. Our compensation package also includes health benefits, employee assistance programs, short-term disability insurance, and life insurance, as well as flexible vacation policies and paid parental leave.

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