Senior Software Engineer, Applied ML
Tasks
- Build backend and ML stack services
- Build data pipelines and feature engineering
- Deliver ML powered initiatives end to end
- Deploy ML models to production
- Evolve architecture testing and monitoring standards
- Mentor engineers via code and architecture reviews
- Partner with data science and product teams to drive ML adoption
Perks/Benefits
- 401k
- Catered lunches
- Commuter benefits
- Dependent care FSA
- Employee assistance programs
- Fitness benefits
- Flexible time off
- Medical dental vision covered 100 percent
- Mental health apps
- Paid Holidays
- Parental leave
- Stock options
- Team-building activities
Skills/Tech-stack
AWS | Algorithms | BigQuery | Cloud Dataflow | Cloud PubSub | Cloud Spanner | Cloud Storage | Data Modeling | Data Structures | Feature Engineering | Fraud Detection | Google Cloud | Google Cloud Dataflow | Google Cloud PubSub | Google Cloud Spanner | Google Cloud Storage | Identity Protection | Java | JavaScript | Kubeflow | Kubernetes | LLM | Machine Learning | Microservices | MongoDB | NoSQL | Object-Oriented | Object-oriented design | Python | Real Time | Real-time fraud detection | Relational databases | SageMaker | Scala | Vertex AI
Education
Regions
Countries
States
Cities
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