機械学習エンジニア（Machine Learning Engineer）
Tasks
- Balance model cost and development lead time
- Build embeddings and vector search for nearest neighbor retrieval
- Collaborate with product managers on KPIs and outcomes
- Design and implement ML-driven systems
- Document decisions and share knowledge
- Implement candidate generation and retrieval pipelines
- Improve recommendation and search systems
- Lead hands on analysis and proof of concept
- Optimize model performance accuracy and latency
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Amazon Aurora | Amazon Aurora MySQL | Aurora MySQL | B testing | BigQuery | Candidate Generation | Confluence | DBT | Dagster | Dataflow | DynamoDB | Elasticsearch | Embeddings | Error budget | Fluent-bit | Fluentd | GitHub | Go | Image Processing | Jira | Kubeflow | Kubernetes | Kubernetes Monitoring | Langfuse | Language Processing | Machine Learning | Matplotlib | Natural Language | Natural Language Processing | Nearest neighbor | Nearest-Neighbor Search | NumPy | Pandas | Pub/Sub | PyTorch | Python | Redis | Retrieval | SLO | SQL | SageMaker | SciPy | Scikit-learn | Slack | Solr | Superset | TFX | Tableau | TensorFlow | Terraform | Vector Search | Vertex AI
Education
N/A
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