Applied Scientist, AI Experiences Search

What you'll do

• Own end-to-end applied research and engineering to improve web data quality and model readiness.
• Develop and apply state-of-the-art machine learning, LLM, and data mining techniques to solve web-scale problems.
• Analyze large-scale web data to formulate hypotheses and design rigorous experiments for actionable insights.
• Use LLMs and prompt engineering to score, classify, label, and evaluate data for scalable model training.
• Translate complex research findings into product decisions, technical strategies, and engineering roadmaps.
• Establish best practices for scalable, responsible, and privacy-conscious AI and data solutions.

What we're looking for

• Bachelor's Degree in a relevant field and 2+ years of experience, Master's Degree and 1+ year of experience, or a Doctorate.
• Equivalent experience to the required degrees and years of experience.
• Experience contributing to research publications, patents, or peer-reviewed academic papers (preferred).
• 1+ years of experience in product development in machine learning and related areas (preferred).
• Hands-on experience developing algorithms and models using deep learning frameworks like TensorFlow or PyTorch (preferred).
• Hands-on experience with large language models like GPT or BERT and knowledge of NLP (preferred).
• Understanding of modern machine learning techniques including Transformers, DNNs, CNNs, or RNNs (preferred).
• Experience with large-scale or distributed data processing, high-performance computing, or stream processing (preferred).