Applied Scientist AI/ML

Opendoor

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
—
Salary
$156,800–$355,000 / yr
Posted
130 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k
This role $256k
$133k most similar roles pay here $379k

This role pays more than 81% of similar roles. Most pay $177,250–$254,750 — the shaded band above. At the midpoint, this role pays about $256k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Opendoor

Opendoor is a digital real estate marketplace that buys and sells homes directly to consumers, simplifying the home selling and buying experience through instant offers and transparent pricing. Industry: Real Estate Technology & iBuying

Opendoor currently has 31 open roles on FindRole.

Listed pay typically runs $156,800–$335,000 across 6 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Applied Scientist AI/ML

Role Posting Log in to save

As an Applied Scientist AI/ML, you will join a nimble team focused on pushing the boundaries of applied machine learning and artificial intelligence. You will be responsible for designing and deploying architectural improvements to deep neural network based home valuation models while building interpretable models to explain pricing decisions. Your daily work involves incorporating unstructured data like images, videos, and text into forecasting pipelines using large language models and vision-language models. You will also improve feature engineering, optimize risk models, and enhance human-in-the-loop systems. The role requires advanced expertise in Python, deep learning architectures such as ConvNets and Transformers, and a solid foundation in statistics and experimental design. You will utilize tools like Pyspark for distributed data processing to solve complex problems involving structured and unstructured housing data within the real estate domain.

What does a Applied Scientist earn?

Median $208800 from 47 postings across 10 companies.

See salary data

Skills

Python Machine Learning Deep Learning Transformers ConvNets LLMs VLMs PySpark Distributed Data Processing Feature Engineering Experimental Design Statistics Multi-modal Modeling

What you'll do

  • Design and deploy architectural improvements to deep neural network-based home valuation models.
  • Build interpretable machine learning models to explain pricing decisions to customers.
  • Integrate unstructured data like images, videos, and text into forecasting pipelines using LLMs and VLMs.
  • Develop and implement end-to-end ML models from research and prototyping to production systems.
  • Improve feature engineering and model training pipelines for production environments.
  • Redesign risk and optimization models using real-world data and domain insights.
  • Enhance human-in-the-loop pricing systems in collaboration with Engineering and Operations teams.

What we're looking for

  • 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 production implementation.
  • Hands-on experience with deep learning architectures, including ConvNets, 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 to communicate technical ideas clearly to cross-functional stakeholders.
  • Familiarity with Pyspark and distributed data processing.
  • Experience with large language models (LLMs), vision-language models (VLMs), search, or recommendation systems.

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