Senior Machine Learning Engineer, Pegasus
Tasks
- Build production machine learning systems
- Deploy inference and evaluation pipelines
- Develop distributed machine learning workflows
- Handle temporal segmentation and structured metadata extraction
- Implement multimodal data processing
- Improve reliability and performance
- Monitor and debug production models
- Optimize model inference with batching caching and quantization
- Serve video language models
Perks/Benefits
- Conference and Membership Support
- English education program
- Global buddy program
- Health checkup
- Hybrid work
- Influenza Vaccination Support
- Insurance
- Latest equipment support
- Paid holiday break
- Self-development budget
- Taxi reimbursement for late and weekend commute
- Unlimted LLM token support
Skills/Tech-stack
Batching | Caching | Computer Vision | Distributed Training | Evaluation Pipelines | Inference Optimization | Kubernetes | Language Models | Language Processing | Large Language Models | Machine Learning | Model Monitoring | Multimodal Learning | Natural Language | Natural Language Processing | Quantization | Video-language models
Education
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