Algorithm Engineer AI Lab

Background

Real estate is deeply connected to nearly every aspect of our daily lives. Whether it's shopping malls, hotels, logistics warehouses powering e-commerce, or data centers supporting the digital world, economic activity always takes place somewhere. At estie, we view real estate as the foundation where economic activity happens, and we're committed to enriching people's lives through the power of data and technology.

Commercial real estate—including office buildings, logistics facilities, and shopping centers—is one of the largest asset classes in the world. Tokyo holds the largest stock of institutionally owned commercial real estate globally, making Japan one of the world's most significant markets. Despite its scale, much of the industry's information remains fragmented and inaccessible, creating barriers to better investment decisions and urban development.

What if people around the world could recognize the true value of Japan's cities and allocate resources based on reliable data? We believe this could unlock new economic opportunities and help create globally competitive cities.

At estie, we are transforming the commercial real estate industry by making information, operations, and transactions more seamless through technology and data. To accelerate this mission, we launched the Real Estate AI Lab in January 2025.

The Real Estate AI Lab combines estie's proprietary data assets and software platforms with cutting-edge AI technologies to develop solutions for leasing, investment sales, and urban development. We are currently building AI-powered rent appraisal systems and real-estate-specific AI agents, creating opportunities and efficiencies that were previously impossible through traditional approaches.

We're looking for engineers who are excited about leveraging data and AI to fundamentally transform the real estate industry.

About the Role

As an Algorithm Engineer in the Real Estate AI Lab, you will serve as a data science and machine learning specialist responsible for leading research and development efforts that create the core value of our AI products.

You will deeply understand the characteristics of our data, select and implement the most effective algorithms, and collaborate closely with business teams to refine not only how problems are solved, but also which problems should be solved in the first place.

Why This Role Is Exciting

Build AI on One of Japan's Largest Real Estate Datasets

• Work with one of the largest commercial real estate datasets in Japan
• Develop models and prediction systems using proprietary, large-scale real estate data unavailable elsewhere
• See the direct impact of your work on a massive industry with significant opportunities for innovation and modernization

Develop New AI Products from the Ground Up

• Participate in the full lifecycle from proof-of-concept to MVP development and production launch
• Design and build AI-powered products that transform traditionally manual real estate workflows
• Help define entirely new categories of AI solutions for the industry

Apply Cutting-Edge Technologies to Real-World Problems

• Explore and apply the latest advancements in large language models (LLMs), including ChatGPT and related technologies
• Conduct research, experimentation, and validation of emerging AI techniques
• Expand your engineering expertise through involvement in data infrastructure and MLOps initiatives
• Contribute to work that may lead to conference presentations, research publications, or patent applications

Responsibilities

Data Engineering and Infrastructure

• Collect, analyze, maintain, and operate diverse real estate datasets
• Design and build ETL pipelines
• Perform data cleansing and feature engineering
• Design and maintain data platforms and cloud infrastructure

Machine Learning and AI Research

• Research and develop machine learning and deep learning models
• Design and implement algorithms including regression, classification, and generative models
• Optimize model performance for both online and batch inference systems
• Investigate and apply the latest research papers, open-source technologies, and large language models (LLMs)

Product Development and Business Collaboration

• Work closely with business stakeholders to identify opportunities for AI solutions
• Lead product planning and development from PoC through MVP
• Continuously improve products with a strong focus on customer value and business impact

Tech Stack

Languages & Frameworks

• Python
• PyTorch
• TensorFlow
• scikit-learn

Cloud Infrastructure

• AWS
• GCP

Development Tools

• GitHub
• GitHub Actions
• Sentry
• Datadog
• Jira
• Slack
• GitHub Copilot
• Claude Code
• Cursor
• Devin
• Codex

Required Qualifications

Software Engineering

• Strong software development fundamentals
• Experience working in collaborative software development environments using tools such as GitHub
• Experience developing tools or applications using scripting languages

Data Engineering & Analytics

• Professional experience in data engineering or data analysis
• Experience working with large-scale data processing platforms and cloud infrastructure (AWS, GCP, etc.)
• Experience building data pipelines and performing data analysis using SQL

Machine Learning

• Practical experience developing machine learning or deep learning models
• Experience building models using Python and frameworks such as PyTorch, TensorFlow, or scikit-learn
• Solid understanding of machine learning algorithms and statistical methods

Language Requirement

• Business-level to native-level Japanese communication skills for working with customers and internal stakeholders

Preferred Qualifications

Generative AI & LLMs

• Experience working with Large Language Models (LLMs)
• Experience utilizing APIs such as ChatGPT API and other foundation models

MLOps & Infrastructure

• Experience designing and operating MLOps environments
• Experience with container technologies such as Docker and Kubernetes
• Experience implementing CI/CD practices for machine learning systems

Data Visualization

• Experience using BI and visualization tools such as Tableau, Looker, or Power BI

Startup Experience

• Experience working in startups or building new products and businesses
• Experience delivering results in small, fast-moving teams

Who We're Looking For

• Someone who respects traditional industries and believes in empowering them through technology
• Someone who is willing to cross functional boundaries and take ownership of solving problems regardless of title or role
• Someone who adapts well to changing environments and embraces uncertainty
• Someone who continuously challenges their assumptions, unlearns outdated approaches, and remains committed to growth

Join us in tackling one of the most ambitious challenges in the industry: using AI to unlock new possibilities for the utilization and revitalization of land and buildings.