Data Science, Data Engg JOBS
【Small SAR Satellite】Software Architect
- Company
- Build constellations of small SAR satellites developed and operated in-house to generate and provide data.
Also use their unique data analysis capabilities to provide data-based solutions to the world's various challenges.
Established: 2018
Capital: 100 million yen
- Location
- Koto-ku, Tokyo
- Company
- Build constellations of small SAR satellites developed and operated in-house to generate and provide data. Also use their unique data analysis capabilities to provide data-based solutions to the world's various challenges. Established: 2018 Capital: 100 million yen
- Location
- Koto-ku, Tokyo
Company | Build constellations of small SAR satellites developed and operated in-house to generate and provide data. Also use their unique data analysis capabilities to provide data-based solutions to the world's various challenges. Established: 2018 Capital: 100 million yen |
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Location | Koto-ku, Tokyo |
Job Description | We are one of the leading companies in the field of Synthetic Aperture Radar (SAR) satellite data acquisition and processing.We are expecting to have a fast growing number of satellites, and thus our processing capacity needs to scale along with them. We are looking for an experienced and talented Software Architect to join our SAR Data Processing team and tackle the system design of the processing pipeline that turns the SAR satellite raw data into higher level SAR data products. Responsibility As a Software Architect, you will be responsible for designing and overseeing the implementation of the system that processes large volumes of SAR satellite images. You will work closely together with other software developers, and people with SAR, physics and electronics background to ensure that the software meets the functional and non-functional requirements of the project. You will also provide technical guidance and coaching to the development team and ensure the quality and performance of the software products. Details of work - Develop technical specifications and documentation for the software systems - Lead design and implementation of the next generation data processing pipeline - Interface with other subsystems, such as the Ground Segment infrastructure and data delivery platform - Oversee the progress and quality of the development team and ensure the consistency with the initial design while also staying flexible for unexpected requirements - Provide technical guidance and coaching to the development team and resolve any technical issues or challenges - Evaluate and recommend new technologies and tools to improve the software development process and data products Selling points - Experience an entire data product life cycle as Synspective develops and operates ground systems as well, designs and manufactures satellites, and contacts with end-users of the satellite data - Cross-functional collaboration: Work alongside experts from various disciplines such as aerospace engineering, radar engineering, digital signal processing, software engineering, among others. - Participate in the stage of scaling our system from a few to dozens of satellites in space - Work with direct feedback from other parts of ground system to operate satellite, system operators, and the end-users of SAR satellite images |
Requirement | Must: - Can work in office in Tokyo - Excellent knowledge of software and application design and architecture principles and patterns - Familiarity with cloud computing and big data technologies and platforms - Experience in software development in Python and C++ - Experience with software testing (unit testing, integration testing, system testing). - Good verbal and written English language skills Preferred: - Excellent project portfolio - Familiarity with signal processing and/or image data processing tools and methodologies - Contributions to open source projects (such as rasterio, gdal, opencv or other image processing library) - Experience working with satellites or space systems - Familiarity with Geographic Information Systems (GIS) tools and methodologie Business level |
AI Engineer【Publishing Industry】
- Company
- A joint venture founded by a major trading company and top 3 publishers, aiming to bring sustainability to Japan's book distribution by digital transformation, including effective use of RFID and AI-driven optimization in publication / distribution.
- Location
- Chiyoda-ku, Tokyo
- Company
- A joint venture founded by a major trading company and top 3 publishers, aiming to bring sustainability to Japan's book distribution by digital transformation, including effective use of RFID and AI-driven optimization in publication / distribution.
- Location
- Chiyoda-ku, Tokyo
Company | A joint venture founded by a major trading company and top 3 publishers, aiming to bring sustainability to Japan's book distribution by digital transformation, including effective use of RFID and AI-driven optimization in publication / distribution. |
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Location | Chiyoda-ku, Tokyo |
Job Description | [ Role ] In this position, you will implement machine learning models, handle MLOps, and build Data Warehouse as a full-stack AI engineer, to solve real problems in publishing industry by engineering. You will be cooperating with in-house data scientists and implementing ML models in PoC and commercial setting. Implementation involves proactive utilization of managed service and new technology. [ About this department ] The department provides supply chain optimization service powered by digital transformation (DX), in order to achieve sustainable publishing / distribution. Although coordination will be tough as there are many stakeholders that are publishers, distributors, and book stores, this is a rewarding position to be able to throughly transform the supply chain from up- to downstream. If you are tired of desktop verification, or wish to take on a new role, please join us in the challenge of industrial transformation! [ Technology stack ] Programing language: Python Framework: Apache Airflow Infra: Terraform Container: Docker GCP: Cloud Composer, Cloud Run, Cloud Functions, Big Query |
Requirement | Mandatory: - Experience implementing machine learning / deep learning / reinforcement learning - Experience running and managing AI such as prediction model on cloud (either production or test environment) - Experience developing ML-related service or product using Python - Involvement in all the processes from requirement definition to fundamental design to implementation to deployment Preferred: - Experience following new service / software trend and verifying on your own - Experience as a leader, sub-leader, or customer interface - Experience developing system infrastructure in a projects related to AI or data utilization - Experience designing and developing AI system using cloud infra e.g. GCP, AWS, Azure Nice to have |
【Small SAR Satellite】Customer Engineer
- Company
- Build constellations of small SAR satellites developed and operated in-house to generate and provide data.
Also use their unique data analysis capabilities to provide data-based solutions to the world's various challenges.
Established: 2018
Capital: 100 million yen
- Location
- Koto-ku, Tokyo
- Company
- Build constellations of small SAR satellites developed and operated in-house to generate and provide data. Also use their unique data analysis capabilities to provide data-based solutions to the world's various challenges. Established: 2018 Capital: 100 million yen
- Location
- Koto-ku, Tokyo
Company | Build constellations of small SAR satellites developed and operated in-house to generate and provide data. Also use their unique data analysis capabilities to provide data-based solutions to the world's various challenges. Established: 2018 Capital: 100 million yen |
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Location | Koto-ku, Tokyo |
Job Description | The Business Department is a department that works as a bridge between customers and the development team in satellite data solution services such as urban planning, improving the efficiency of infrastructure development, and responding to natural disasters, while also planning and proposing marketing, sales, and proof-of-concept projects for new services. ・We provide proposals and data analysis for customer issues. Job Description: Responsible for supporting proposal activities for sales members, analyzing satellite data in collaboration with engineers from other departments, adding interpretations to analysis results, and providing feedback to products. In particular: ・Engineering services such as satellite data analysis and interpretation in projects with customers ・Coordination with engineers from other departments and sales teams ・Proposal activities for services that meet customer expectations |
Requirement | Requirements: ・More than 3 years of data analysis experience ・Experience working on customer projects ・Communication ability with other departments ・Japanese: Can create proposals and write reports ・English: Business level Preferred: ・Experience in utilizing digital technology for government agencies, etc. (Explanation of technology to customers is a plus) ・Satellite imagery (optical/SAR), especially InSAR data analysis experience ・Project lead and management experience ・Consulting experience (organizing customer issues) ・Data solution sales experience ・Experience with specialized knowledge in a specific industry area (infrastructure, civil engineering related industry, municipal work) ・Experience in proposing and implementing PoC (Proof of Concept) for new services and products Business level |
【Small SAR Satellite】Image Processing Engineer
- Company
- Build constellations of small SAR satellites developed and operated in-house to generate and provide data.
Also use their unique data analysis capabilities to provide data-based solutions to the world's various challenges.
Established: 2018
Capital: 100 million yen
- Location
- Koto-ku, Tokyo
- Company
- Build constellations of small SAR satellites developed and operated in-house to generate and provide data. Also use their unique data analysis capabilities to provide data-based solutions to the world's various challenges. Established: 2018 Capital: 100 million yen
- Location
- Koto-ku, Tokyo
Company | Build constellations of small SAR satellites developed and operated in-house to generate and provide data. Also use their unique data analysis capabilities to provide data-based solutions to the world's various challenges. Established: 2018 Capital: 100 million yen |
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Location | Koto-ku, Tokyo |
Job Description | The Data Production Department handles satellite operations, image data production, and distribution for our proprietary small SAR (synthetic aperture radar) satellites. The SAR Processing unit design, manage, and operate systems that process formulas images acquired by satellites as products. In collaboration with the satellite operation, signal and image processing development teams, we will operate the image data production system, including image data production, maintenance, investigation and recovery of problems that occur during data processing ・Operation, maintenance, and improvement of image data production system ・Investigation of defects that occur in the data production system ・Planning and execution of recovery response plans ・In-house satellite operation, signal/image processing development, and coordination with business teams ・Realization of an image data production system optimized for satellite constellations ・Consideration of system improvement and operational structure to improve productivity and quality assurance |
Requirement | Requirements ① Can commute to our Tokyo head office three or more days a week ② Can flexibly work on weekends and nights (once or twice a month, shift system) for image capture during disasters, etc., when necessary ③ Comfortable with reading, writing, and oral communication in English ④Willing to learn Linux and Python ⑤ 5 years or more of work experience in one of the following fields: ・Experience in SAR image processing ・Experience in signal processing or image processing + data operation/management ・Data operation/management lead experience (+SRE knowledge) Desired ・Engineering knowledge such as physics, electricity, information engineering, aerospace, etc. ・Experience in IT/system operation Comfortable with reading, writing, and speaking |
Data Engineer【Publishing Industry】
- Company
- A joint venture founded by a trading company and 3 major publishers, aiming to bring sustainability to Japan's book distribution by digital transformation, including effective use of RFID and AI-driven optimization in publication / distribution.
- Location
- Chiyoda-ku, Tokyo
- Company
- A joint venture founded by a trading company and 3 major publishers, aiming to bring sustainability to Japan's book distribution by digital transformation, including effective use of RFID and AI-driven optimization in publication / distribution.
- Location
- Chiyoda-ku, Tokyo
Company | A joint venture founded by a trading company and 3 major publishers, aiming to bring sustainability to Japan's book distribution by digital transformation, including effective use of RFID and AI-driven optimization in publication / distribution. |
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Location | Chiyoda-ku, Tokyo |
Job Description | [ Role ] The recruiting company is building a workflow engine system using Apache Airflow and providing a platform with the mission of providing a data collection and processing infrastructure system and making publication distribution sustainable through data utilization. In this position, as a data platform engineer, you will be responsible for expanding the platform, as well as improving, investigating and verifying operational operations to cope with new customers and new measures. This is a very rewarding job that requires a wide range of technical understanding from the hardware layer, including networks, to the application layer. [ About this department ] The department provides supply chain optimization service powered by digital transformation (DX), in order to achieve sustainable publishing / distribution. Although coordination will be tough as there are many stakeholders that are publishers, distributors, and book stores, this is a rewarding position to be able to throughly transform the supply chain from up- to downstream. If you are tired of desktop verification, or wish to take on a new role, please join us in the challenge of industrial transformation! [ Technology stack ] Programing language: Python Framework: Apache Airflow Infra: Terraform Container: Docker GCP: Cloud Composer, Cloud Run, Cloud Functions, Big Query |
Requirement | Mandatory: Two or more of the following - Experience in platform development, operation, and troubleshooting - Development experience using scripting languages (JS, Python, PHP etc) on the cloud - Practical experience in development using RDMS such as PostgreSQL - Experience using public clouds (GCP, AWS, Azure) - Experience building systems for workflow engines such as Apache Airflow, Apache NiFi - Database system design/tuning experience Preferred: - Environment construction and development in GCP - Data engineering experience - Experience in building and operating DWH such as Redshift, BigQuery - Project leader/sub leader experience - Network knowledge NA |
AI Engineering Manager【Infra Maintenance DX】
- Company
- A growing venture business whose mission is to automate the maintenance of social infrastructure by robotics and AI.
Prioritize fee charging in subscription model with end user or license model with distributor, and avoid dead-end PoC.
Their scope of solution provision is overall infra maintenance, not limited to drone service, which enables broader market access than their competitors.
Founded in: October 2015
Number of employees: 122
Capital: 326 million yen
- Location
- Shinagawa-ku, Tokyo
- Company
- A growing venture business whose mission is to automate the maintenance of social infrastructure by robotics and AI. Prioritize fee charging in subscription model with end user or license model with distributor, and avoid dead-end PoC. Their scope of solution provision is overall infra maintenance, not limited to drone service, which enables broader market access than their competitors. Founded in: October 2015 Number of employees: 122 Capital: 326 million yen
- Location
- Shinagawa-ku, Tokyo
Company | A growing venture business whose mission is to automate the maintenance of social infrastructure by robotics and AI. Prioritize fee charging in subscription model with end user or license model with distributor, and avoid dead-end PoC. Their scope of solution provision is overall infra maintenance, not limited to drone service, which enables broader market access than their competitors. Founded in: October 2015 Number of employees: 122 Capital: 326 million yen |
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Location | Shinagawa-ku, Tokyo |
Job Description | ◆Background We believe that managers responsible for people management will have a huge impact on the organization along the path to further strengthen and expand the foundation of the engineering organization. However, the manager position does not have much systematic know-how, making it difficult to be promoted in an organization with many player-oriented engineer members. The company has more than 10 AI engineers with diverse backgrounds, and is looking for an engineering manager who can bring out their strengths and connect them to business growth. ◆Role in the team You can start as a tech lead to understand the current development process and system, deepen mutual understanding with other members, and transition to people management. ◆Responsibility As an Engineering Manager, you will specifically be responsible for the following tasks: - Management of each team member (mentoring and coaching through 1on1) - Goal setting and evaluation - System design and operation - Strategy formulation for the engineering organization, collaboration with business strategy and product roadmap - Improve organizational performance ◆Business area: - Facility inspection Inspection of social infra / large factory / plant etc. owned by large enterprise or local government - Disaster countermeasure Rapid check of evacuation status and evacuation PR in the event of large-scale disaster without human operation - Security surveillance 24-hour security of wide area in factory / warehouse / harbour - Site management Process automation and advanced information management towards the efficiency improvement of construction site |
Requirement | Required - Experience managing a development team of 5 or more people - AI development experience (emphasis on general engineering skills rather than knowledge of specific languages or frameworks) - Knowledge about CI/CD - Experience writing test code Preferred - Experience with agile development (Scrum development, etc.) - Experience managing a machine learning team - Machine learning development experience - Skills related to image processing/image recognition/image analysis - Deep learning/machine learning skills Business level preferred |
Data Scientist at Data Security Startup
- Company
- A startup providing secret-calculation-based data security and AI architecture design technology.
Owns unique strength such as inter-business data linkage while keeping data secret.
Year of foundation: 2016
Capital: JPY 100M
Workforces: 40+
- Location
- Shibuya-ku, Tokyo
- Company
- A startup providing secret-calculation-based data security and AI architecture design technology. Owns unique strength such as inter-business data linkage while keeping data secret. Year of foundation: 2016 Capital: JPY 100M Workforces: 40+
- Location
- Shibuya-ku, Tokyo
Company | A startup providing secret-calculation-based data security and AI architecture design technology. Owns unique strength such as inter-business data linkage while keeping data secret. Year of foundation: 2016 Capital: JPY 100M Workforces: 40+ |
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Location | Shibuya-ku, Tokyo |
Job Description | We are looking for someone who can join our team responsible for in-house product/solution development and be entrusted with one of the following tasks. - Promotion of PoC project with data analysis for product/solution planning - Promotion of customer data/AI utilization projects - Specifically, selecting solutions such as algorithms to meet customer needs, defining analysis requirements, performing analysis, and proposing improvement measures based on analysis results. Data handled: - Highly confidential industry data in the chemical and manufacturing industries (e.g., experimental data including chemical structure, material composition, physical property values, manufacturing process data, data on product supply and demand, data on design drawings, etc.) - Human resources related data within the company (e.g. employee attendance, evaluation, skills, career orientation, organizational status, etc.) - Data related to human communication (e.g. voice, chat, email, documents, etc.) - You will develop an analysis method that safely utilizes confidential, confidential, or sensitive personal information, which is unprecedented in each industry. - You will develop core functions for products that both protect highly confidential data and utilize it for machine learning and AI. Technology: Python, javascript, AWS |
Requirement | ■Mandatory skills - Over 3 years of experience in products/solutions/projects using AI/machine learning as a data scientist or in charge of similar work (practical experience in analysis methods and machine learning methods, experience in developing data analysis functions, etc.) *For the selection process, we would like you to submit papers, competitions, portfolios, etc. - Business level Japanese ability ■Preferred skills - Experience in customer negotiations - Agile/Scrum development experience - Experience in the chemical/pharmaceutical/manufacturing industry or a master's degree or higher in a related field - Experience in the human resources industry or human resources data utilization projects - Master's degree or higher in information science/mathematics related field - English proficiency at everyday conversation level ■We are looking for: - People who want to be involved in products and solutions from 0 to 1 - Those who have the ability and stance to consistently carry out everything from "theory/research" to "application/practice" - People who are not bound by their own or others' roles and have the attitude of transcending their roles when necessary - Those who can act quickly and flexibly even in situations where there is no correct answer, and who can move things forward through repeated trial and error - Those who enjoy collaborating with diverse team members and achieving results as a team Daily conversational (nice to have) |
【Drone Image】AI Engineer
- Company
- A Japanese venture company providing service in infrastructure maintenance and inspection utilizing UAV, as well as digital data management of facilities data.
Owns ultra-compact drone developed in-house based on rich track record.
Year of foundation: 2016
Number of employees: 60+
Capital: 1.42 billion yen
- Location
- Chiba-shi, Chiba-ken
- Company
- A Japanese venture company providing service in infrastructure maintenance and inspection utilizing UAV, as well as digital data management of facilities data. Owns ultra-compact drone developed in-house based on rich track record. Year of foundation: 2016 Number of employees: 60+ Capital: 1.42 billion yen
- Location
- Chiba-shi, Chiba-ken
Company | A Japanese venture company providing service in infrastructure maintenance and inspection utilizing UAV, as well as digital data management of facilities data. Owns ultra-compact drone developed in-house based on rich track record. Year of foundation: 2016 Number of employees: 60+ Capital: 1.42 billion yen |
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Location | Chiba-shi, Chiba-ken |
Job Description | You will be engaged in the development of an anomaly detection system of the drone itself, the development of an AI system that automatically identifies images taken by the drone, and the development of a future-oriented big data system. Tasks in specific: - Development of algorithms to detect equipment abnormalities (cracks, water leaks, etc.) and specific object detection based on images taken by drones - Data analysis of infrastructure equipment data and algorithm development for AI analysis - Development of algorithms for diagnosing aircraft abnormalities based on log data (motor rotation speed and acceleration sensor) during drone flight |
Requirement | Required: - 3+ years' professional programming experience (in any language) - 1 year or more of professional implementation experience in Python - Experience using machine learning frameworks / libraries (PyTorch, Tensorflow, Keras, scikit-learn, etc.) * Study / research at university may also be counted Preferred: - Experience in software specification and architecture design - Research and development of anomaly detection algorithms - Experience in image processing - Experience in time series data processing - Experience with point cloud data processing We like to work with: - Those who like to work on new technology - Those who can set their own goals and carry out development - Those who can flexibly incorporate the opinions of people around them and summarize the issue - Those who are accustomed to carefully checking his/her own programs by self Nice to have |
【Secure Computation Gateway for DB】Full-Stack Engineer
- Company
- A startup providing secret-calculation-based data security and AI architecture design technology.
Owns unique strength such as inter-business data linkage while keeping data secret.
Year of foundation: 2016
Capital: JPY 100M
Workforces: approx. 40
- Location
- Shibuya-ku, Tokyo
- Company
- A startup providing secret-calculation-based data security and AI architecture design technology. Owns unique strength such as inter-business data linkage while keeping data secret. Year of foundation: 2016 Capital: JPY 100M Workforces: approx. 40
- Location
- Shibuya-ku, Tokyo
Company | A startup providing secret-calculation-based data security and AI architecture design technology. Owns unique strength such as inter-business data linkage while keeping data secret. Year of foundation: 2016 Capital: JPY 100M Workforces: approx. 40 |
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Location | Shibuya-ku, Tokyo |
Job Description | 【About this position】 You will be primarily responsible for improving the UX of the secure computing software for databases GateDB, as well as developing and launching web services. 【Detailed information about this role】 - Improve the UX of GateDB, as well as the web services supporting it. - Work on enabling the GateDB back-end core engine to be provided as a web application - including a mechanism for dynamic processing of construction/start/stop, data import/export, data sharing, authentication and authorization, etc. In order to improve the usability of GateDB by adding a web interface, we will mainly focus on the following three points. - Pursue functions for product UX that is easy to install and use even without specialized knowledge - Develop web UI and application that makes it easier to experience the world of technology - In conjunction with the above, each technology selection, strengthening of core technology, research and development of new technology, and product application 【About our products】 Gate DB / Secure computation software for databases that enables inter-company collaboration and computational processing of data in an encrypted state common platform that supports industry applications such as finance, chemicals, logistics, and energy, including software such as secure data linkage, privacy protection AI, AI model sharing, AutoML, MLOps, and key management. |
Requirement | Mandatory skills: - Front-End: Next.js, React - Back-End: Go, Python, Rust (one of them) - Docker & container technology - PostgreSQL Preferred skill: - AWS and/or Azure Business level |
Generative AI R&D Engineer
- Company
- Major Japanese electronics manufacturer
- Location
- Shinagawa-ku, Tokyo
- Company
- Major Japanese electronics manufacturer
- Location
- Shinagawa-ku, Tokyo
Company | Major Japanese electronics manufacturer |
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Location | Shinagawa-ku, Tokyo |
Job Description | ■Team's mission: This is an R&D organization that conducts everything from research on new algorithms for generative AI to development for business divisions, and is responsible for providing technology to all group companies. In facial video generation, we have contributed to domestic animation production and video generation by transferring facial movements from facial videos to still images and automatically generating lip movements using voice input. In behavior generation, we have contributed to navigation technology for entertainment robots, control technology for drones, and manipulation control for FA robots. ■Your responsibility: We will research and develop generative AI algorithms using machine learning, such as deep learning. - Development of new algorithms for video generation and behavior generation, besides software verification, implementation, and library creation - You will be in charge of technology at a level that can contribute to products, with tasks mainly related to image generation of faces and people, or behavior generation for robots, games, and animations - We also handle fairness and AI ethics, as responsibility with generative AI - There is a lot of collaboration with R&D-related departments, overseas research institutes, and business departments - We also handle AI analysis and generation using data unique to the company group, who have a wide range of businesses such as entertainment, finance, and sports analysis |
Requirement | Required: - Over 3 years of research and development experience in the AI/machine learning field (including university research) - Remarkable achievements/results in core areas such as research/development of fundamental new algorithms - Deep understanding of deep learning frameworks (TensorFlow, PyTorch, nnabla) - Software coding skills (Python, C++, etc.) Preferable: - Presentation experience at international conferences (CVPR, ICCV, ECCV, ICLR, SIGGRAPH) - Knowledge and experience in 3DCG and animation Must be able to gather information from English papers / lectures, and have necessary conversations to advance research with overseas researchers |
【Satellite Image】Remote Sensing Engineer
- Company
- Building earth-observation platform by microsatellite constellation. Propose solutions based on microsatellite data. Design and production of microsatellites and related components. Launch arrangements and operational support.
Establishment: 2008
Capital: 8,050 Million JPY
- Location
- Chuo-ku, Tokyo
- Company
- Building earth-observation platform by microsatellite constellation. Propose solutions based on microsatellite data. Design and production of microsatellites and related components. Launch arrangements and operational support. Establishment: 2008 Capital: 8,050 Million JPY
- Location
- Chuo-ku, Tokyo
Company | Building earth-observation platform by microsatellite constellation. Propose solutions based on microsatellite data. Design and production of microsatellites and related components. Launch arrangements and operational support. Establishment: 2008 Capital: 8,050 Million JPY |
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Location | Chuo-ku, Tokyo |
Job Description | The successful candidate will be working alongside a team of other Remote Sensing Engineers to develop image processing software that delivers to customers a high quality Earth Observation product set. The candidate will also be collaborating and consulting with hardware engineers throughout the process of planning and designing future missions in order to ensure high standards are maintained on launching a science-grade mission. Job Responsibilities: - On-ground and on-orbit Radiometric and Geometric Calibration & Validation - Ensuring that Remote Sensing best practices are maintained - Investigating potential improvements to data quality - Consulting with mission engineers on mission design requirements - Simulating the output of missions yet to be launched |
Requirement | [ Mandatory Requirements ] - 3+ years of experience in Remote Sensing, image processing or sensor development - Ability to communicate in English about technical topics - Proficiency in using Python to automate image-processing tasks - One of the following language skills: a) Fluent in Japanese and have basic English conversation skills b) Fluent in English and have basic Japanese conversation skills [ Favorable Skills / Experiences ] - Familiarity working with geospatial imagery from Earth Observation satellites - Experience performing radiometric calibration and geometric correction on Earth Observation data - Experience in project management - Comfortable working in a Linux environment and using Docker - Experience working on a previous Earth Observation mission Fluent |
Data Engineer【Big Data・Fintech・IoT・AI】
- Company
- A multinational company with customers in more than 120 countries around the world. The Company provides management consulting, technical services and outsourcing.
- Location
- Tokyo, Osaka
- Company
- A multinational company with customers in more than 120 countries around the world. The Company provides management consulting, technical services and outsourcing.
- Location
- Tokyo, Osaka
Company | A multinational company with customers in more than 120 countries around the world. The Company provides management consulting, technical services and outsourcing. |
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Location | Tokyo, Osaka |
Job Description | In DX projects with various elements such as big data, Fintech, IoT, AI, etc., we look at the business value of the client company along with ideal form for data utilization to formulate the optimal architecture, select individual solutions, and implement for them. ・Requirement definition, design and construction of analysis platform ・Development and introduction of AI system ・Requirement definition, design and construction of data integration platform ◆ Project example ・Data infrastructure migration at an energy company ・Development of infrastructure for next-generation data utilization in financial institutions ・Construction of master data management infrastructure for major manufacturers ・Digital marketing architecture planning for the distribution industry, and many others |
Requirement | ◆Requirements ・Experience in system development and operation (more than 3 years, experience as sub-lead or above is desirable) - Ability to communicate with customers ・Experience in data model design and development in industry applications ・Cloud implementation experience (AWS, Azure, Google) ・Process understanding through development projects (Dep&Ops/SI) ・Motivation to learn new technologies and knowledge such as OSS ◆Desired experience/skills ・Planning and development experience in SI process DWH: Redshift/BigQuery/Teradata/Netezza/Greenplum/Redshift/NoSQL system/data store, etc. Big Data infrastructure: Parallel distributed processing infrastructure such as Hadoop/Spark, ETL (Informatica, PowerCenter) Data Integration platform: Informatica, Talend, etc. ・Experience in business utilization of analysis results by machine learning, etc. Development experience using statistics, machine learning, and deep learning Main development languages/skills: python, hadoop, Spark, Pyspark, Docker ・Practical experience in AI and understanding of a wide range of AI system development Development experience using machine learning, deep learning, AI: Watson, chatbots, natural language, speech recognition, image recognition, blockchain Main development languages/skills: python, Node.js, Typescript, Scala ・Experience with front end (JavaScript), custom development, and custom development of analysis screens Agile development, Scrum development experience Main development languages/skills: Vue, Vue.js, React, React.js, Angular, Angular.js, chart.js, amCharts, D3.js, REST, RESTful, swagger, DDD, etc. - |
AI Research Engineer at Data Security Startup
- Company
- A startup providing secret-calculation-based data security and AI architecture design technology.
Owns unique strength such as inter-business data linkage while keeping data secret.
Year of foundation: 2016
Capital: JPY 100M
Workforces: approx. 40
- Location
- Shibuya-ku, Tokyo
- Company
- A startup providing secret-calculation-based data security and AI architecture design technology. Owns unique strength such as inter-business data linkage while keeping data secret. Year of foundation: 2016 Capital: JPY 100M Workforces: approx. 40
- Location
- Shibuya-ku, Tokyo
Company | A startup providing secret-calculation-based data security and AI architecture design technology. Owns unique strength such as inter-business data linkage while keeping data secret. Year of foundation: 2016 Capital: JPY 100M Workforces: approx. 40 |
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Location | Shibuya-ku, Tokyo |
Job Description | You will be in charge of system development related to AI / data utilization, such as secure data collection and management, AI model management and AI analysis, or other AIOps-related system. It is essential to design and develop reliable and scalable cloud architecture as we deal with data from industries like finance (bank, securities), manufacturing (factory), logistics (warehouse), or retail. With customers in manufacturing, work scope will extend to overall architecture design including local facilities, IoT, distributed computing environment, as well as design and implementation of scalable WebAPI. You will be leading technology selection to model development / implementation for projects such as implementation verification based on SOTA technology and papers, or client-driven AI development, while collaborating with project manager and engineers. Tasks include: - AI design, implementation, maintenance, evaluation and verification on project-base - Leading project in technical aspect, such as proposal to client, model development etc. - Planning, development, implementation, maintenance, evaluation and verification of existing product (secret calculation software for AI model) - Project management / direction of company's own service - Data set design to fit AI's prerequisite / process conditions / environmental conditions - Design, implementation and verification of AI algorithm based on academic paper - Research of relevant technologies - Technology selection, new technology R&D and product application accompanying the above - Managing AI engineer team Products to work on: - Secret calculation software for AI that makes AI model itself usable in cryptographic state - Application development utilizing advanced data security / interfacing technology such as secret calculation or federated learning Technology stack: - Language: Python - Cloud: AWS - Container: Docker - Misc.: GitHub, Confluence, Slack |
Requirement | ■Mandatory skill / experience - Experience sorting out AI algorithms and approaches and examining them - Experience designing, developing, implementing, evaluating and verifying multiple (AI) algorithms - Post-graduate degree in science or equivalent capability - Ability to communicate with external customers in Japanese Plus one or more of the following: - Experience of end-to-end system development from requirement definition to implementation - Experience managing development resources - budget, progress, task, quality - Professional experience as a data scientist - Experience leading a project ■Preferred skill / experience - Experience in environmental design of AI's both edge and cloud, besides fundamental design of distributed processing architecture - Experience designing data set to fit AI's prerequisite / process conditions / environmental conditions - Knowledge and experience in analysis of high dimensional or unstructured data such as image analysis or NLP - English skill at business level Business level preferred |
AIOps Engineer at Data Security Startup
- Company
- A startup providing secret-calculation-based data security and AI architecture design technology.
Owns unique strength such as inter-business data linkage while keeping data secret.
Year of foundation: 2016
Capital: JPY 100M
Workforces: approx. 40
- Location
- Shibuya-ku, Tokyo
- Company
- A startup providing secret-calculation-based data security and AI architecture design technology. Owns unique strength such as inter-business data linkage while keeping data secret. Year of foundation: 2016 Capital: JPY 100M Workforces: approx. 40
- Location
- Shibuya-ku, Tokyo
Company | A startup providing secret-calculation-based data security and AI architecture design technology. Owns unique strength such as inter-business data linkage while keeping data secret. Year of foundation: 2016 Capital: JPY 100M Workforces: approx. 40 |
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Location | Shibuya-ku, Tokyo |
Job Description | This is a challenging and important position that allows you to take part not only in the maintenance of existing services, but also in the launch of never-before-seen service utilizing data security technology centered in secret calculation. You will mainly be engaged in the roles below. - Backend development of secret calculation software - New development of 1. middleware that executes secret calculation process (encryption with high functionality including homomorphic encryption), 2. application to make it work with high usability, and 3. cloud infra to serve as a base for them - Design to product development and release of data utilization service that takes advantage of advanced technologies such as secret calculation or federated learning (Recent cases include security service for financial institutes using federated learning) Depending on your experience and preference, you can also be in charge of developing AIOps infrastructure including functions to deploy or manage AI models, method to improve accuracy and robustness of AI models. Tasks include: - Design, implementation and testing of existing product - Planning, design, implementation and testing of new product / service - Development and improvement of DevOps environment to cover from development to service provision - Technology selection for the tasks above. R&D as well as product application of new technology - Development of infrastructure for AI system / AIOps. Design and development of backend web API - Design and development of cloud architecture, and distributed computing environment including hardware, IoT etc. Products to work on: - Secret calculation software that enables inter-corporation data collaboration / computational processing in cryptographic state - Secret calculation software for AI that makes AI model itself usable in cryptographic state - Application development utilizing advanced data security / interfacing technology such as secret calculation or federated learning, as well as AIOps-related technology Technology stack: - Language: Python,GO, Rust, C/C++ - Container: Docker / Kubernetes - 3rd party interface: MySQL, PostgreSQL, Redis, Tableau, and so on (more connectors to be developed) - Library: Microsoft SEAL, TFHE, etc. (only listing fully homomorphic encryptions) - ML library: Tensorflow, PyTorch, Keras, and so on (using OSS depending on project) - Misc.: GitHub, bitbucket, Confluence, Slack |
Requirement | ■Mandatory skill / experience - System development experience using more than 2 languages: Python (must have) + other backend language such as Java, Go, Rails, PHP - RDB (MySQL, PostgreSQL, SQLit etc.) or NoSQL - Git, Github or Gitlab - IF or API - Experience developing BtoB service - Experience engaged in all the phases from service planning (requirement definition) to design to implementation to deployment ■Preferred skill / experience - Experience developing web application (backend / frontend) - Experience following new service, software etc. and verifying on your own - Product management or customer interfacing experience - English at engineering / business level - Experience developing system infrastructure in AI or data utilization project - Understanding of data processing or AI algorithm processing pipeline, and understanding of computing cost - Knowledge and experience in AI, statistical machine learning etc. - Experience designing AI model or data management with consideration to MLOps, or experience developing MLOps system - Experience designing and developing AI system using cloud environment such as AWS, Azure ■Soft skills - Ability to think and act flexibly according to the situation - Proactiveness - Respect to others and their different background - Try-first attitude Daily conversational level or higher |
Remote Sensing Specialist【Technical Sales】
- Company
- Building earth-observation platform by microsatellite constellation. Propose solutions based on microsatellite data. Design and production of microsatellites and related components. Launch arrangements and operational support.
Establishment: 2008
Capital: 4,537 Million JPY
- Location
- Chuo-ku, Tokyo
- Company
- Building earth-observation platform by microsatellite constellation. Propose solutions based on microsatellite data. Design and production of microsatellites and related components. Launch arrangements and operational support. Establishment: 2008 Capital: 4,537 Million JPY
- Location
- Chuo-ku, Tokyo
Company | Building earth-observation platform by microsatellite constellation. Propose solutions based on microsatellite data. Design and production of microsatellites and related components. Launch arrangements and operational support. Establishment: 2008 Capital: 4,537 Million JPY |
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Location | Chuo-ku, Tokyo |
Job Description | A successful candidate will be involved in the sales activity to understand customer needs/challenges; analyze and extract information using satellite images and other data sources, and propose solutions and design concepts to solve customers' needs/challenges; satellite image quality control and improvement activities; support and improvement activities for company's earth observation service operation; work with engineer and engage in POC to realize the proposed concept. [ What would you do? ] - Analyze and extract information from company's/external satellite images through remote sensing analysis technology - Bring ideas that would solve a client’s issue, study its feasibility, plan and propose solution services related to the utilization of satellite images based on customer needs, and launch services in cooperation with internal and external engineers - After-engineering sales of solution services for satellite image utilization. - Involved in satellite image quality control and improvement activities in cooperation with internal engineers and coordinate activities from technical aspects. - Involved in support and improvement activities for company's earth observation service operation in cooperation with internal engineers and coordinate activities from technical aspects. - Gather related information and perform related tasks which can be value-adding to the project. |
Requirement | Mandatory: - Skills, knowledge, and 2+ years of experience in image analysis and/or processing taken by satellite, airplane, or drone or any other geospatial data processed using Remote Sensing (RS) and Geographic Information System (GIS) tools. - Communication experience and skills to understand needs, problems, and issues that customers might not have awareness by themselves. - Ability to communicate in English about product technology with overseas customers and internal stakeholders. - Work experience to coordinate each department in the company. - Bachelor’s degree relevant to remote sensing or either discipline of agriculture Favorable: - Experience in image processing/analysis and image recognition using Python, C++, etc. - Experience in data-oriented product development / service construction (whether sales or engineer) - Knowledge of highly specialized industries (agriculture, forestry, energy, insurance, government agencies, etc.) - Experience in Project management - Experience using collaboration tools like Jira, Gitlab and Github - Knowledge or development experience of geospatial database system or web GIS application - Experience of sales Business level |
【Satellite Imagery Processing Pipeline】DevOps Engineer
- Company
- Building earth-observation platform by microsatellite constellation. Propose solutions based on microsatellite data. Design and production of microsatellites and related components. Launch arrangements and operational support.
Establishment: 2008
Capital: 4,537 Million JPY
- Location
- Chuo-ku, Tokyo
- Company
- Building earth-observation platform by microsatellite constellation. Propose solutions based on microsatellite data. Design and production of microsatellites and related components. Launch arrangements and operational support. Establishment: 2008 Capital: 4,537 Million JPY
- Location
- Chuo-ku, Tokyo
Company | Building earth-observation platform by microsatellite constellation. Propose solutions based on microsatellite data. Design and production of microsatellites and related components. Launch arrangements and operational support. Establishment: 2008 Capital: 4,537 Million JPY |
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Location | Chuo-ku, Tokyo |
Job Description | Their clients need access to the most recent high-quality satellite imagery in order to accomplish their goals, whether that's identifying illegal logging operations, monitoring of natural disasters, determining the ideal time to harvest or fertilize a crop, or monitoring large-scale infrastructure development. Images are the core of the company's earth observation platform, and as a software engineer you will work to enable their client's success by making sure the hiring company can provide this data reliably and with minimal latency. They are looking for a person with strong technical skills in Software Development and Cloud Computing. As a member of the Data Team, your mission is to develop, monitor and optimize the distributed systems that form the data pipeline, which processes the raw images received from the satellites into the final products that they deliver to clients in the earth observation platform. |
Requirement | Mandatory: - University degree in Computer Science or a related field. - Experience in developing, designing, maintaining and monitoring distributed systems in a production environment. - Comfortable having in-depth technical conversations about current and past projects. - Proficiency in Python. - Experience designing and deploying cloud-based infrastructure on AWS or GCP. - Knowledge of containerization technologies. - Experience designing and maintaining databases with PostgreSQL or similar open-source RDBM systems. - Ability to write, debug, optimize code, and automate routine tasks. - Willingness to learn new skills. - Strong communication skills in either English OR Japanese, with a willingness to learn the other. Favorable: - Written and verbal communication skills in English and an ability to work in a team environment. - Experience using IaC tools: Terraform, etc. - Knowledge of geospatial data processing libraries, e.g., GDAL, rasterio. - Experience with CI/CD pipelines. Strong communication skills in either English OR Japanese, with a willingness to learn the other |
AI Engineer at Japanese IT Servicer
- Company
- A Japanese independent IT service provider.
Deliver IT solutions such as control system for manufacturing / inspection, business application for enterprise etc.
Increasing AI projects in recent years e.g. image analysis for manufacturing / medical industries, robot's perception / control, data analytics.
The company started focusing in high-speed computation with GPU and founded a dedicated team in 2013.
The team recruited engineers with math skill, which enabled early adaptation to deep learning boom.
Year of foundation: 1991
Capital: approx. 20 million yen
Number of employees: 160
- Location
- Shinjuku-ku, Tokyo
- Company
- A Japanese independent IT service provider. Deliver IT solutions such as control system for manufacturing / inspection, business application for enterprise etc. Increasing AI projects in recent years e.g. image analysis for manufacturing / medical industries, robot's perception / control, data analytics. The company started focusing in high-speed computation with GPU and founded a dedicated team in 2013. The team recruited engineers with math skill, which enabled early adaptation to deep learning boom. Year of foundation: 1991 Capital: approx. 20 million yen Number of employees: 160
- Location
- Shinjuku-ku, Tokyo
Company | A Japanese independent IT service provider. Deliver IT solutions such as control system for manufacturing / inspection, business application for enterprise etc. Increasing AI projects in recent years e.g. image analysis for manufacturing / medical industries, robot's perception / control, data analytics. The company started focusing in high-speed computation with GPU and founded a dedicated team in 2013. The team recruited engineers with math skill, which enabled early adaptation to deep learning boom. Year of foundation: 1991 Capital: approx. 20 million yen Number of employees: 160 |
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Location | Shinjuku-ku, Tokyo |
Job Description | You will be engaged in R&D or product / service development related to AI, machine learning, 3D data or SLAM. Client industry includes manufacturing, construction, infrastructure, healthcare and others. We have positions from technical-sales-oriented role with focus on requirement definition, to R&D-like role. Joint research with university is also going on. We look forward to meeting a candidate with strong inquisitive mind. |
Requirement | Development experience in either of the following: AI, machine learning, 3D data, SLAM Nice to have |
Satellite Image Processing Engineer
- Company
- A Japanese venture designing and developing commercial small SAR satellites and providing data acquired by them
Year of foundation: 2005
Capital: JPY 3 billion
Workforce: 20+
- Location
- Fukuoka-city, Fukuoka-ken
- Company
- A Japanese venture designing and developing commercial small SAR satellites and providing data acquired by them Year of foundation: 2005 Capital: JPY 3 billion Workforce: 20+
- Location
- Fukuoka-city, Fukuoka-ken
Company | A Japanese venture designing and developing commercial small SAR satellites and providing data acquired by them Year of foundation: 2005 Capital: JPY 3 billion Workforce: 20+ |
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Location | Fukuoka-city, Fukuoka-ken |
Job Description | Develop software for processing and analyzing SAR data taken by satellites of our satellite constellation business Specific Duties - Development of software for data processing and analysis (imaging and various additional functions) based on SAR data acquired by our satellites. -Development of software for image processing of SAR data - Development of algorithms for various image corrections and higher precision - Research and development of advanced image processing algorithms - R&D of state-of-the-art image processing algorithms |
Requirement | MUST - Experience in developing data processing programs using MATLAB - Experience in research and development of remote sensing image processing. - Experience with Geographic Information System (GIS) software such as ArcGIS or QGIS. - Experience in parallel computing development Preferred - Master's degree or higher in a field related to remote sensing or satellites. - Experience in machine learning and deep learning development - Experience in cloud computing development - Technical communication ability in English Business Level |
AI Project Manager at Data Security Startup
- Company
- A startup providing secret-calculation-based data security and AI architecture design technology.
Owns unique strength such as inter-business data linkage while keeping data secret.
Year of foundation: 2016
Capital: JPY 100M
Workforces: approx. 20
- Location
- Shibuya-ku, Tokyo
- Company
- A startup providing secret-calculation-based data security and AI architecture design technology. Owns unique strength such as inter-business data linkage while keeping data secret. Year of foundation: 2016 Capital: JPY 100M Workforces: approx. 20
- Location
- Shibuya-ku, Tokyo
Company | A startup providing secret-calculation-based data security and AI architecture design technology. Owns unique strength such as inter-business data linkage while keeping data secret. Year of foundation: 2016 Capital: JPY 100M Workforces: approx. 20 |
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Location | Shibuya-ku, Tokyo |
Job Description | - Management in general of multiple engineering teams - Improvement of engineering organization and business process - Collaboration with software / ML engineers from within and outside Japan |
Requirement | Mandatory skill / experience: - More than 2 years' experience leading project - Experience in end-to-end system development from requirement definition to implementation - Experience managing development resources (budget, progress, issue, quality) - Knowledge and experience about software development methodologies - Ability to communicate with customers in Japanese - Vitality to maintain high performance while learning Preferred skill / experience: - Significant success experience in project execution - Experience developing software on cloud platform - Knowledge in AI, ML, and math - Experience designing ML algorithm - Business level communication in English Daily conversational level or higher |
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