Senior Machine Learning Engineer, Pegasus
Tasks
- Adopt AI-assisted development tools
- Deploy and improve model serving
- Drive ML lifecycle improvements
- Integrate research into production
- Lead machine learning systems development
- Make ML architecture decisions
- Optimize inference architecture and workflows
- Provide technical guidance and design reviews
Perks/Benefits
- Annual health checkup
- English education program
- Equipment refresh every 3 years
- Hybrid work model
- MacBook equipment provided
- Meal card allowance
- Snacks and beverages provided
- Transportation card allowance
- Winter break
- Work from home equipment provided
Skills/Tech-stack
Batching | Caching | Computer Vision | Distributed Training | GPU Computing | Inference Optimization | Kubernetes | Language Models | Language Processing | Large Language Models | Latency Tuning | ML workflows | Machine Learning | Model Serving | Multimodal Learning | Natural Language | Natural Language Processing | Quantization | Reinforcement Learning | Throughput tuning | Video Understanding | Vision Language Models | Vision-language
Education
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