HPC, Distributed Computing JOBS

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

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

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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

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

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【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

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

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