Principal Applied AI Researcher - Domain- Specific Models
Tasks
- Align AI capabilities with business priorities
- Architect AI research infrastructure
- Assess robustness and explainability
- Collaborate with engineering and product teams
- Conduct reward modeling
- Define AI model development strategy
- Design evaluation frameworks
- Develop model-adaptation techniques
- Drive research experimentation
- Evaluate enterprise readiness
- Implement post training optimization
- Improve reasoning quality
- Integrate AI into platforms
- Lead domain specific model development
- Manage model lifecycle decisions
- Mentor senior researchers
- Optimize distributed experimentation
- Perform data curation
- Plan high stakes deployment scenarios
- Publish research and patents
- Scale AI infrastructure
Perks/Benefits
- Career growth
- Collaborative culture
- Continuous learning
- Hybrid work
- Inclusive workplace
- Professional development
Skills/Tech-stack
DPO | Data Curation | Data Quality | DeepSpeed | Distributed Training | Explainable AI | FSDP | Failure analysis | Fine Tuning | Human Feedback | Language Models | Large Language Models | Learning from Human Feedback | Megatron-LM | Model Alignment | Model Evaluation | Pretraining | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Reward Modeling | Robustness Testing | Supervised Fine Tuning
Education
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