Applied Scientist AI/ML

What you'll do

• Improve and deploy deep neural network home-valuation models and build interpretable models to explain pricing decisions.
• Use unstructured data such as images, videos, and text in forecasting and valuation pipelines with AI models.
• Improve production feature-engineering and training pipelines, human-in-the-loop pricing systems, and risk and optimization models.

What they ask for

• Strong Python coding and software engineering skills, including production codebase experience.
• Experience developing and deploying ML models end-to-end, from research and prototyping through production implementation.
• Hands-on experience with deep learning architectures such as ConvNets or Transformers.
• Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field; solid foundation in statistics and experimental design.

Nice to have

• Familiarity with Pyspark and distributed data processing; background in search, recommendation systems, or personalization.
• Experience with large language models (LLMs) or vision-language models (VLMs).

Pay

$201,000-$330,000 USD annually (base salary)

Tools

Python, ConvNets, Transformers, Pyspark, LLMs, VLMs

AI focus

Applied machine learning and AI for valuation, forecasting, interpretable pricing, unstructured-data modeling, and risk and operational optimization.