AI Research Engineer (Applied AI)
United States - Remote
R
USD 150K-222K (estimate) Mid-level Full Time
Tasks
- Build data tooling for dataset construction and labeling
- Collaborate with ML Platform engineers
- Conduct rigorous experiments and ablations
- Contribute to prototype to production playbooks
- Define success metrics and evaluation strategy
- Design applied AI solutions
- Document research findings and system design
- Implement safety fairness and reliability evaluations
- Implement training and inference pipelines
- Mentor engineers on applied ML methods
- Monitor data quality
- Optimize models for accuracy latency throughput and cost
- Prototype and evaluate models
- Translate business problems into ML formulations
Perks/Benefits
Skills/Tech-stack
Agentic Systems | Computer Vision | Data Quality | Data labeling | Data quality monitoring | Deep learning | Distributed Training | Experimentation | Fine Tuning | JAX | Language Models | Language Processing | Large Language Models | Machine Learning | Mixed Precision | Mixed-precision training | Model Alignment | Model Evaluation | Multimodal Learning | Natural Language | Natural Language Processing | Observability | PyTorch | Python | Quality monitoring | Recommendation Systems | Responsible AI | Retrieval-Augmented Generation | Statistical Evaluation
Education
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