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Full-Time

Principal Machine Learning Scientist

Gen AI

Confirmed live in the last 24 hours

Corelogic

Corelogic

5,001-10,000 employees

Property data and analytics provider

Data & Analytics
Financial Services
Real Estate

Compensation Overview

$145.9k - $170kAnnually

Senior, Expert

Dallas, TX, USA + 1 more

More locations: San Diego, CA, USA

Hybrid-remote team; requires in-office presence.

Category
Deep Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Python
Pytorch
Apache Spark
Natural Language Processing (NLP)
Hadoop
C/C++
Linux/Unix
Data Analysis
Requirements
  • Master’s Degree or higher in machine learning, science, math, statistics, or engineering field.
  • 5+ years of related modeling development and deployment experience.
  • Experience in Prompt Engineering, LLM fine-tuning, LLM evaluation a plus.
  • Experience in distributed computing – ray, spark, beam, Hadoop etc.
  • Knowledge of Gen AI deployment a plus.
  • Experience in Deep Learning techniques, e.g. Transformers, LLM, CNN, or NLP.
  • Experience using python and/or C/ C++ with pytorch, jax, Scikit-learn, mlflow, huggingface.
  • Experience working in a cloud-based Linux environment.
  • Publications or open-source contributions a plus.
  • Strong problem solving and analytical ability.
  • Strong communication skills.
  • Ability to quickly and efficiently adapt to new concepts.
  • Ability to thrive in a team environment.
  • Demonstrated knowledge of statistical techniques.
  • Strong working knowledge of multiple analytic development tools, statistical tools, and programming languages.
  • Demonstrated experience innovating and extracting insights from multiple data types including unstructured data.
Responsibilities
  • Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs.
  • Support deployment of models.
  • Perform work in a cloud-based Linux environment.
  • Present model performance to clients and prospects.
  • Provide pre-sales and post-sales analytic support and interact with both internal and external clients and prospects.
  • Create model reports for client review and model documentation.
  • Prepare and maintain programs and documentation for analytic models.
  • Conduct defined quantitative and qualitative research projects independently and communicates research results to internal and external stakeholders.

CoreLogic provides property data and analytics to clients in the real estate and financial services sectors, including real estate agents, lenders, and insurance companies. The company collects and analyzes extensive property data, such as property values and market trends, to offer insights that help clients make informed decisions and manage risks. CoreLogic operates on a subscription-based model, allowing clients to access its data and analytics services, and also offers customized solutions tailored to specific client needs. What sets CoreLogic apart from competitors is its focus on integrated solutions that combine comprehensive property data with analytics, enabling clients to enhance their operations and better serve their customers. The goal of CoreLogic is to empower clients in the property market with accurate data and insights to improve decision-making and performance.

Company Stage

Acquired

Total Funding

$72.7M

Headquarters

Irvine, California

Founded

N/A

Growth & Insights
Headcount

6 month growth

4%

1 year growth

10%

2 year growth

10%
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Simplify's Take

What believers are saying

  • Strategic alliances, such as the one with Halcyon, enhance CoreLogic's service offerings and market reach, particularly in the mortgage industry.
  • The launch of innovative platforms like OneHomeowner demonstrates CoreLogic's commitment to evolving its product suite to meet market demands.
  • Recognition in industry awards and appointments of key personnel, like Josh Symons, highlight CoreLogic's leadership and influence in the real estate sector.

What critics are saying

  • The reliance on accurate and comprehensive property data means any data inaccuracies could significantly impact client trust and business operations.
  • The competitive landscape in property data and analytics is intense, with new entrants and technological advancements posing potential threats.

What makes Corelogic unique

  • CoreLogic's extensive property data and analytics capabilities provide a comprehensive view of the real estate market, setting it apart from competitors with less robust data offerings.
  • The company's subscription-based model ensures a steady revenue stream, allowing for continuous investment in data accuracy and technological advancements.
  • CoreLogic's ability to offer customized solutions and consulting services tailored to specific client needs enhances its value proposition in the property market.

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