Software Engineer, ML Engineering
Tasks
- Build data collection curation preprocessing systems
- Build data workflows
- Build model serving infrastructure
- Collaborate with machine learning researchers
- Create experimentation tools automation
- Design training pipelines
- Develop model integration systems
- Document systems decisions
- Optimize data pipelines observability reliability performance
- Perform code reviews
- Write well-tested, maintainable code
Perks/Benefits
- Flexible working hours
- Hands-on experience with cutting-edge technology
- Professional growth opportunities
- Remote work
- Vacation policy
Skills/Tech-stack
C# | C++ | Code review | Containerization | Data Versioning | Distributed Training | Docker | Experiment tracking | GPU Computing | Go | Inference Optimization | Java | ML metadata | ML metadata management | MLOps | Machine Learning | Metadata Management | Model Deployment | Model Serving | Observability | Orchestration | PyTorch | Python | Rust | TensorFlow
Education
N/A
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