Share
Our team is looking for Applied Scientists to research and develop the next generation of ML and LLM-based Judge systems that identify and correct issues with advertising creatives. Working with other scientists and engineers, you will bridge the gap between AI research and real-work applications at significant scale. You will provide the science leadership for automatic moderation detections that reduce customer frustration in the screening and remediation of creatives.
Key job responsibilities
• Use statistical analysis, machine learning and LLM techniques to create scalable solutions for business problems
• Analyze and extract relevant information from large amounts of both structured and unstructured data
• Design, experiment and evaluate highly innovative models for regression and classification challenges
• Maintain, evaluate and improve existing models
• Research and implement novel machine learning and statistical approaches
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation together with software engineering teams
- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in building machine learning models for business application
- Experience using Unix/Linux
- Experience in professional software development
These jobs might be a good fit