AI Research Engineer (Applied AI)
Tasks
- Build training and inference pipelines
- Collaborate with ML Platform engineers
- Design and prototype applied AI solutions
- Develop dataset construction labeling and monitoring tooling
- Document research findings and operational characteristics
- Implement experimentation workflows
- Implement safety fairness and reliability evaluations
- Mentor engineers on applied ML methodology
- Optimize model accuracy latency throughput and cost
- Translate business problems into ML formulations
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Computer Vision | Data Quality | Data quality monitoring | Deep learning | Distributed Training | JAX | Language Models | Language Processing | Large Language Models | Machine Learning | Mixed Precision | Mixed-precision training | Model Evaluation | Multimodal Learning | Natural Language | Natural Language Processing | PyTorch | Python | Quality monitoring | Recommendation Systems | Retrieval-Augmented Generation | Statistical Analysis
Education
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