Software Engineer, AI
Tasks
- Apply A/B testing
- Automate testing for AI systems
- Build end-to-end machine learning pipelines
- Build model training pipelines
- Collaborate with product managers and researchers
- Contribute to AI safety privacy and integrity
- Create feature engineering frameworks
- Design and implement metric evaluation
- Design experiments and validate hypotheses
- Design scalable AI and machine learning systems
- Develop and optimize large-scale AI models
- Establish AI evaluation frameworks
- Implement inference infrastructure
- Instrument AI systems with telemetry
- Mentor engineers on AI engineering best practices
- Optimize model inference for latency and throughput
- Own AI component technical design
- Profile and benchmark training and serving performance
- Set up monitoring pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Artificial Intelligence | B testing | Benchmarking | Cause analysis | Distributed Training | Feature Engineering | Generative AI | Integration Testing | Knowledge Distillation | Language Models | Large Language Models | Machine Learning | Model Inference | Model Training | Monitoring | Profiling | PyTorch | Python | Quantization | Ranking Models | Recommendation Systems | Retrieval-Augmented Generation | Root Cause Analysis | Root cause | Telemetry | TensorFlow | Unit Testing
Education
N/A
Roles
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