Senior Research Engineer
Tasks
- Build and harden prototypes into production services
- Build offline and online evaluation frameworks
- Contribute to responsible AI policies and auditing
- Create learning loops from user feedback
- Curate high signal datasets and data quality checks
- Design and implement AI systems using foundation models
- Design controlled experiments and analyze results
- Develop proofs of concept at realistic scales
- Evaluate models using offline and online methods
- Fine-tune large language models
- Integrate AI components into products
- Mitigate fairness privacy safety and security risks
- Operate CI/CD and MLOps workflows
- Own end-to-end ML pipelines
- Resolve model quality latency and scale bottlenecks
- Uphold responsible AI principles
Perks/Benefits
- N/A
Skills/Tech-stack
A I | A I Safety | A/B | A/B Testing | Agent systems | B testing | CI/CD | Deep learning | Experimentation | Fairness | Fine Tuning | JAX | Language Models | Large Language Models | Latency optimization | MLOps | Machine Learning | Model Monitoring | Multi-Agent | Multi-Agent Systems | Multi-Modal | Multi-modal Models | Privacy | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Security | Telemetry | TensorFlow | Throughput Optimization | Vector Databases
Education
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