AI Research Engineer (Applied AI)
Tasks
- Build training and inference pipelines
- Design applied AI solutions
- Develop dataset construction labeling validation and monitoring tooling
- Document research findings and design decisions
- Implement experimentation workflows with baselines and ablations
- Implement safety fairness and reliability evaluations
- Mentor engineers on applied ML methodology and evaluation
- Optimize models for accuracy latency throughput and cost
- Prototype and evaluate machine learning models
- Translate business problems into ML formulations
Perks/Benefits
- N/A
Skills/Tech-stack
Computer Vision | Deep learning | Distributed Training | JAX | Language Models | Language Processing | Large Language Models | Machine Learning | Mixed Precision | Multimodal Learning | Natural Language | Natural Language Processing | PyTorch | Python | Recommendation Systems | Retrieval-Augmented Generation | Statistical Evaluation
Education
Roles
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