Machine Learning Engineer (Python, Cloud, AI)

MUST-HAVE REQUIREMENTS- Solid knowledge of algorithms related to machine learning, statistics, linear algebra, and computer science- Experience working with machine learning to solve business problems- Experience improving the accuracy of machine learning and statistical models- Proven track record of deploying machine learning models to production environments- Experience working with cloud services such as Google Cloud and AWS- Business communication skills in English NICE-TO-HAVE REQUIREMENTS- Experience in image recognition, OCR, and 3D analysis- Experience with GPU-based data processing (CUDA, OpenCL, cudf, CuPy, etc.)- Experience developing machine learning pipelines using Vertex AI Pipeline, kubeflow, Apache Beam, Spark, etc.- Experience in development and operation related to distributed processing- Business level Japanese proficiency PRODUCT DEVELOPING ENVIRONMENTLanguages:- Front-end: TypeScript- Backend: Rust, TypeScript, PythonFramework/ Library- Frontend: React, [protected info], WebGL, WebAssembly- Backend: Rust (axum), [protected info] (Express, Fastify, NestJS), PyTorchInfrastructure: Google Cloud, Google Kubernetes Engine, Anthos Service MeshDatabase/Data Warehouse: CloudSQL (PostgreSQL), AlloyDB, Firestore, BigQueryAPIs: GraphQL, REST, gRPCMonitoring: Datadog, Sentry, Cloud MonitoringEnvironment construction: TerraformCI/CD: Github ActionsAuthentication: Auth0Development tools: GitHub, GitHub Copilot, Figma, StorybookCommunication tools: Slack, Discord, JIRA, Miro, Confluence RECRUITING STEPS- CV screening- Technical assignment (online coding test)* We place more importance on whether you can imagine that you can work together with us to develop a product, rather than on your knowledge of algorithms or the speed of your answers.- Casual talk with Recruiter* This interview is not a selection process, but an opportunity to discuss conditions and resolve any questions you may have about the selection process.- HR Interview- Technical interview (with engineer)* Technical interview may be scheduled more than 1 time.- Final interview (with CTO)- Offer interview