Machine Learning Engineer, Infrastructure
Tasks
- Build VLM training and experimentation systems
- Build distributed training and serving systems
- Collaborate with research, product, infrastructure teams
- Design ML systems for GPU efficiency and throughput
- Design VLM systems
- Develop VLM serving and deployment systems
- Develop production grade ML infrastructure with Python
- Implement video processing pipelines
- Improve end to end ML systems
Perks/Benefits
- Corporate card
- English education support
- Equipment stipend
- Health check
- Home Office Equipment Refresh
- Hybrid work
- Snacks and drinks
- Winter vacation
Skills/Tech-stack
Data Pipelines | Distributed Serving | Distributed Training | GPU Computing | Kubernetes | Low Latency | Machine Learning | Model Serving | Multimodal Learning | Python | Throughput Optimization | VLM | Video Processing
Education
N/A
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