Senior Machine Learning Engineer - AI Enabler Team
Tasks
- Architect distributed machine learning training and inference solutions
- Automate infrastructure performance improvements
- Collaborate on system design for AI features
- Design machine learning pipelines for training and inference
- Evaluate Large Language Model performance
- Implement inference optimization with quantization
- Improve infrastructure automation
- Optimize model inference for cost and output quality
- Tune inference performance
Perks/Benefits
- Additional paid time off
- Annual hackathons
- Equipment budget
- Equity options
- Flexible working conditions
- Learning budget
- Personal project time
- Private health insurance
- Remote-first work environment
- Team-building activities
Skills/Tech-stack
API Design | Checkpointing | Cloud Computing | Containerization | Data Processing | Distributed Systems | Inference Optimization | Kubernetes | LLM optimization | Language Models | Large Language Models | Machine Learning | Python | Quantization | Real Time | Real-time Data | Real-time Data Processing | Reduced precision | TensorRT | Training Pipeline | VLLM
Education
N/A
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