About the Role
★Machine Learning Engineer: Satellite Development
Business Level Japanese Required
◆ Start-up Company
◆ Flextime & Hybrid Work
◆ In-house Services
◆ Annual Days Off: 120 days
◆ Annual salary: 7 million yen - 13 million yen
-------------【About the company】-------------
・Designing, manufacturing, and operating micro-satellites.
・Building micro-satellite constellations (groups of satellites working together).
・Providing components and software related to micro-satellites.
・Operating ground station services for satellite control.
・Offering education and consulting services.
-------------【 Job Description】-------------
As a Machine Learning Engineer in this role, you'll be responsible for developing machine learning models and image processing algorithms, primarily for satellite imagery.
Earth observation is a key mission for satellites, a field known as remote sensing. This technology captures more than just visible light photos; it also images various electromagnetic wavelengths, such as infrared and SAR radio waves.
While Earth observation data is complex and vast—including geospatial and temporal metadata—its fundamental structure is similar to that of standard images, allowing for the application of common image processing techniques.
Services that utilize satellite imagery are steadily increasing, but the full potential of vast Earth observation data has not yet been unlocked.
There's a significant opportunity to create unprecedented solutions by combining data from different satellites and sensors with ground-based IoT data, and by applying these to new countries, regions, and business domains. This is a role where you can make a major contribution to solving global challenges by exploring innovative ways to use satellite imagery, free from conventional thinking.
The company is looking for individuals who want to lead the global space business with them. No prior knowledge of space engineering is required, as you will acquire the necessary skills after joining the company.
【Responsibilities】
・Developing machine learning models and image processing algorithms for solutions that utilize satellite imagery.
・Preprocessing satellite imagery and enhancing its quality.
・Building data pipelines for service delivery.
【Position Highlights】
・End-to-End Involvement: Since the company handles everything from satellite development and operation to data utilization in-house, you can work with a broad perspective, for example, providing feedback from necessary data to the satellite design.
・Challenging Engineering: You'll be involved in challenging engineering under the unique constraints of micro-satellites.
・Complex Systems: You'll have the opportunity to work with complex systems that span both ground and space, such as those involving constellations of multiple satellites rather than just single satellites.
・Leverage Your Skills in Space: You can apply your software skills in the cutting-edge space industry.
・Experience the Forefront of the Space Business: In a position close to the management team, you'll get to experience the front lines of the space business.
・Global Exposure: You'll be involved in global projects, such as the operation and development of products used in Rwanda and Chile, and joint research projects with space development agencies in other countries like NASA and ESA.
【Team and Culture】
You'll be joining the Software and Platform Systems Department, which consists of:
・One manager.
・12 full-time engineers.
・9 interns.
*The team has a diverse age range, with members primarily in their 20s to 40s.
【Tools and Environment】
・Primary Language: Python (with some use of Rust and TypeScript).
・Provided PC: Generally based on your preference.
・Development Environment: macOS or Linux (including WSL2).
・Communication: GitHub, Slack, Zoom.
・Code Management: GitHub.
・Task Management: GitHub Projects V2, GitHub Issues, Redmine.
・Version Control: Git.
・CI/CD: GitHub Actions.
・Infrastructure as Code: Terraform.
-------------【 Requirements】-------------
【Required】
・Knowledge of image processing including machine learning
・Experience implementing machine learning models and image processing algorithms in Python for images
【Preferred】
・Experience working with remote sensing data and geospatial data
・Experience in developing services with core functionality using machine learning, knowledge of MLOps
・Ability to read and understand English language papers and technical documents and project them into your work
・Experience using AWS
【Time Off & Holidays】
You'll enjoy 120 days off annually, including:
・Complete Two-Day Weekends (Saturday and Sunday).
・National holidays.
・3 days of summer vacation.
・7 days off for year-end and New Year holidays.
・Other leaves such as bereavement leave and paid time off (as per company regulations).
【Paid Time Off (PTO)】
・You'll receive 10 days of PTO after your first month.
・The maximum annual grant is 20 days.
【Other Benefits】
・Housing allowance
・Full commuting allowance
・Company-sponsored Defined Contribution Pension Plan
【Benefits】
・Comprehensive social insurance: This includes employment insurance, workers' accident compensation insurance, health insurance, and employees' pension insurance.
・Regular health check-ups.
・Casual dress code.
・Lunch subsidy: This includes access to Tamagoya and OFFICE DE YASAI services.
・Vending machine subsidy.
・Free water and coffee servers.
・Recruitment dinner subsidy.