Algorithm Engineer AI Lab

estieTokyojapandevpublicada em 22/06/2026
Obrigatório:PythonGitAWSGoogle CloudDockerKubernetesCloudDataCI/CDAILead

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.