AI Research Engineer (Applied AI)
United States - Remote
R
USD 153K-222K (estimate) Senior-level Full Time
Tasks
- Build production training and inference pipelines
- Contribute to knowledge sharing and prototype to production playbooks
- Design prototype evaluate applied AI solutions
- Develop dataset construction labeling validation monitoring tools
- Document research findings and operational characteristics
- Implement experimentation workflows with baselines ablations
- Implement safety fairness reliability evaluations
- Mentor engineers on applied ML methodology
- Optimize models for accuracy latency throughput cost
- Translate business problems into ML formulations
Perks/Benefits
- N/A
Skills/Tech-stack
Ablation Studies | Accelerator hardware | Agentic Systems | Computer Vision | Data Quality | Data labeling | Data quality monitoring | Deep learning | Deployment Pipelines | Distributed Training | Experiment design | JAX | Language Models | Language Processing | Large Language Models | Machine Learning | Mixed Precision | Mixed-precision training | Model Evaluation | Multimodal architectures | Natural Language | Natural Language Processing | Observability | PyTorch | Python | Quality monitoring | Recommendation Systems | Responsibility AI | Retrieval-Augmented Generation | Statistical Evaluation
Education
Roles
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