Open Positions

Join our team to build the future Deep Search Engine

Senior Full Stack Engineer

Seniorhybrid (JST preferred)

Full Stack Engineer to build and maintain sophisticated web applications with a focus on real-time data visualization and secure authentication systems.

Key Responsibilities

  • Design and implement scalable web applications using modern JavaScript frameworks and Python backends
  • Build complex, real-time data visualization systems for streaming applications
  • Develop and maintain secure authentication and authorization systems
  • Optimize application performance and database queries
  • Collaborate with UX designers to implement responsive and intuitive user interfaces

frontend

React or Vue.js (advanced)TypeScriptSCSS/CSS3D3.js or similar visualization librariesWebSocket implementationState management (Redux, Vuex, or similar)

backend

Python (FastAPI or Django)Node.jsRESTful API designGraphQLWebSocket servers

database

PostgreSQL or MySQLMongoDBRedisQuery optimization

tools

GitDockerCI/CD pipelinesTesting frameworks

Preferred Skills

  • Experience with real-time data processing
  • Knowledge of WebAssembly
  • Familiarity with microservices architecture
  • Experience with GCP
  • Contributions to open-source projects
Education: Bachelor's or Master's in Computer Science or related field or Equivalent practical experience
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Senior Cloud Systems Engineer

Seniorhybrid (Required overlap with JST)

Experienced Cloud Systems Engineer to architect and optimize Cloud infrastructure, with a focus on big data processing and storage optimization.

Key Responsibilities

  • Design and implement cloud-native solutions on GCP
  • Manage and optimize Kubernetes clusters for large-scale applications
  • Develop and maintain data processing pipelines for streaming data
  • Optimize database performance and storage solutions
  • Implement and maintain Cloud security best practices
  • Design and optimize big data processing systems

cloud

Google Cloud Platform (expert level)Kubernetes (expert level)Terraform or similar IaC toolsCloud networking and security

programming

PythonRustC++Shell scripting

databases

PostgreSQL optimization (advanced)Vector databases (FAISS, ScaNN)Distributed databases (CockroachDB, Cassandra)Database sharding and partitioning

bigData

Apache SparkHadoop ecosystemStream processing (Kafka, Flink)Data warehousing solutions (BigQuery, Snowflake)

Preferred Skills

  • Experience with multi-region deployments
  • Knowledge of ML infrastructure (TensorFlow Serving, Kubeflow)
  • Performance tuning of distributed systems (K8s, Spark)
  • Experience with video/audio processing pipelines (FFmpeg, GStreamer)
  • Deep knowledge of video streaming protocols (HLS, DASH, WebRTC, RTMP)
  • Contributions to open-source projects
Education: Bachelor's or Master's in Computer Science or related field or Equivalent practical experience
Apply Now

Senior Machine Learning Engineer

Seniorhybrid (JST preferred)

Experienced Machine Learning Engineer with expertise in NLP (particularly Japanese language processing), computer vision, and LLM deployment.

Key Responsibilities

  • Develop and deploy NLP solutions for Japanese and English text processing
  • Implement and optimize computer vision models for object detection and OCR
  • Fine-tune and deploy large language models
  • Design and implement efficient ML pipelines (training, evaluation, deployment)
  • Optimize model performance through quantization and pruning
  • Collaborate with research teams to implement state-of-the-art ML solutions

NLP

Japanese NLP (MeCab, KyTea, or similar)Transformer architecturesNamed Entity RecognitionSentiment analysisText classification

Computer Vision

Object detection (YOLO, Faster R-CNN)Image classificationOCR (particularly for Japanese text)Video processing pipelines

LLM

Model fine-tuningPrompt engineeringModel quantizationEmbedding generation and optimizationHybrid Search

tools

PyTorch or TensorFlowHugging Face transformersONNXMLflow or similar ML platforms

Preferred Skills

  • Experience with multi-modal models (CLIP etc)
  • Knowledge of ML systems design and optimization
  • Experience with distributed training and inference
  • Research experience or publications in ML/NLP
  • Knowledge of Japanese business culture and language (JLPT N2 or higher)
Education: Master's or PhD in Computer Science, Machine Learning, or related field or Equivalent practical experience
Apply Now

Benefits & Perks

  • Flexible working hours
  • Remote work options
  • Professional development budget
  • Health insurance
  • Annual bonus
Compensation: Competitive (Based on experience)