Senior Applied Scientist

October 11

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Description

• Senior Applied Scientist to join the Search & Conversational AI team • Shape the future of search in the real-estate domain • Leverage customer data to construct ranking models for personalized search • Use vector embeddings search and information retrieval techniques • Create immersive user experiences using language models • Scale systems to handle 1 billion searches per day • Build task-oriented conversational experiences using retrieval augment generation (RAG) • Mentor scientists and engineers in model architecture • Share knowledge with technical and non-technical audiences • Coordinate deliverables, writing papers, modeling, authoring designs

Requirements

• A Ph.D. or another advanced degree in Computer Science with Machine Learning and Natural Language Processing • 5+ years of hands-on experience building ML/AI systems for search, ranking, or recommender system • Fluency in building fine-tuned language models for solving domain-specific problems • Expertise in machine learning tools and packages like Python, Numpy, Pandas, Scikit-learn, SciPy, PyTorch, Tensorflow, etc. • Knowledge in state-of-the-art methods but has experience developing unique and original models to solve complex problems • Knowledge about applied research for using LLMs as agents • Familiarity with different Transformer based architectures and their applications • Experience in conversational AI building dialog systems for question-answering, or other business functions, is nice to have • Experience deploying highly scalable, business-critical ML models in production • Been keeping up with industry trends, recent advancements, and best practices • Prior experience with responsible AI development, tuning models for ethical / fairness considerations is nice to have

Benefits

• Comprehensive medical, dental, vision, life, and disability coverages • Parental leave • Family benefits • Retirement contributions • Paid time off