Applied Scientist AI​/ML

We’re looking for an Applied Scientist (ALL LEVELS) to push the boundaries of applied machine learning and AI le this role will have a significant impact on our valuation systems — ensuring we provide the most accurate and transparent pricing possible — the scope goes well beyond pricing. You’ll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers.

Strong software engineering and coding skills in Python, with experience contributing to production codebases

Experience developing and deploying ML models end-to-end — from research and prototyping to implementation in production systems

Hands‑on experience with deep learning architectures, including Conv Nets, Transformers, or similar

Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field

Solid foundation in statistics and experimental design

Strong communication and collaboration skills — you’re comfortable working with cross‑functional stakeholders and can communicate technical ideas clearly

Familiarity with Pyspark and distributed data processing

Background in search, recommendation systems, or personalization

Experience working with large language models (LLMs) or vision‑language models (VLMs)

A genuine interest in real estate — no prior experience required, but you'll engage deeply with housing data

Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models

Build interpretable ML models that can help us explain pricing decisions to customers

Incorporate unstructured data — like images, videos, or text — into our forecasting and valuation pipelines using cutting‑edge AI models (LLMs, VLMs, etc.)

Collaborate with Engineering and Ops to enhance our human‑in‑the‑loop pricing systems

Improve the feature engineering and model training pipelines that power our production systems

Rethink our risk and optimization models using real‑world data and domain insight

We’re a small, nimble team — there’s ample opportunity to work across the entire research and modeling stack.

The base pay range for this position is $156,800-$355,000 annually, plus RSUs. Pay within this range varies by work location and may also depend on your qualifications, job‑related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.