Senior Applied Scientist Remote-USA

October 14, 2024

Industry: Private

Employment Type:- Full Time

Work Hours:- 8 Hours

Locations:- USA

Full Job Description:-

About the team

The Zillow Group’s Search & Conversational AI team helps millions of people search and find the home of their dreams. This team uses AI to help customers express their search queries in natural language and easily navigate to the results to find homes of their dreams. This team drives innovation by providing an engaging, personalized search experience to our customers using ML models and data updated in near real-time. This is a lean, customer-focused team comprising scientists and engineers, working together to deliver a delightful customer experience. We strongly believe in accountability, collaboration, and transparency. The team is also building scalable solutions for a state-of-the-art context-aware conversational AI system to help customers navigate their complex real estate journey.

Recently, this team launched Natural Language Search, a first in the real estate industry to transform the way users search for their home. This goes beyond standard filter-based search to enable users to search using queries like “waterfront homes in seattle”. The team is in the process of launching the first consumer facing conversational assistant for consumers of Zillow.

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About the role

Zillow is looking for a Senior Applied Scientist to join the Search & Conversational AI team. This is a high-impact position that shapes the future of search in the real-estate domain by influencing multiple Zillow Group brands, including Zillow, Trulia and StreetEasy. They will be hands-on in prototyping ideas, conducting analyses, and evaluating and deploying models to Zillows highly scalable infrastructure platforms.

Zillow powers hundreds of millions of searches daily that are personalized for its customers. They will deliver project through various stages of development lifecycle, such as data analysis, hypothesis framing, algorithm development, offline validation, AB testing, and in-production support.

As an Applied Scientist in the Search team, you will:

Leverage customer data to construct ranking models that deliver a personalized search & conversational experience
Use vector embeddings search and information retrieval techniques to find relevant data
Create an immersive user experience by utilizing language models to comprehend and guide customer queries
Scale systems to handle 1 billion searches per day and be highly performant
Build task-oriented conversational experiences using retrieval augment generation (RAG) over LLMs
Manage cost vs performance tradeoffs and make the systems operationally efficient
Mentor other scientists and engineers to architect using the right models and tools
Share your knowledge and effectively communicate your ideas to both technical and non-technical audiences
Be the focal point for science projects, coordinating deliverables, writing papers, modeling, authoring designs, and creating science plans
Keep up with the latest advancements in LLMs, Personalized Ranking/Recommender systems, Conversational AI systems to iterate, experiment, and bring the right toolkits

This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.

In California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Minnesota, Nevada, New York, Washington state, and Washington DC the standard base pay range for this role is $158,200.00 - $252,800.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Minnesota, Nevada, New York, Washington state, and Washington DC and may not be applicable to other locations.

In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.

Who you are

As an Applied Scientist, you are a roll-up-the-sleeves and get-it-done researcher in machine learning with an understanding of natural language processing fundamentals. We are looking for someone who has:

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