Related skills
bigquery python pytorch fastapi xgboost📋 Description
- Build and integrate ML solutions for real-time and offline evaluation.
- Support multiple Crypto products with ML to prevent fraud.
- Experiment with modeling techniques with cross-functional teams.
- Analyze large datasets using SQL, Python and Apache Beam to surface features.
- Help build AI-powered automation tools and pipelines across the company.
- Own the full lifecycle of ML solutions: ingestion to deployment.
🎯 Requirements
- Experienced in ML at leading fintech startups or fast-growing tech companies.
- Confident releasing and maintaining ML models in fast-paced, iterative env.
- Experienced with some of our tech stack or eager to cross-train.
- Real-world time-series data experience for classification, counterfactuals, adversarial models.
- Understand data structures, pipelines and real-time big data processing.
- Experience with cloud-native apps such as Google Cloud or AWS/Azure.
🎁 Benefits
- Equity package: ownership for employees.
- Moonshot equity awards for exceptional impact.
- Hybrid working: remote or Moonbase.
- Private healthcare benefits.
- Annual training budget.
- Home office setup allowance.
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