Staff AI Engineer, Model Post-Training and Alignment
Tasks
- Apply reinforcement learning based optimization
- Build data augmentation pipeline
- Collaborate to productionize training and deployment workflows
- Deploy models using low latency serving frameworks
- Design DPO training
- Design GRPO training
- Design RLAIF closed loop systems
- Develop domain specific data curation strategy
- Evaluate model performance with automated benchmarks
- Evaluate using human AI feedback loops
- Execute supervised fine tuning
- Implement preference optimization
- Lead post training pipeline for large language models
- Optimize inference efficiency
- Train reward models
Perks/Benefits
- Company events
- Comprehensive healthcare
- Education subsidy
- Learning and development programs
- Meal allowances
- Team building programs
- Wellness allowances
Skills/Tech-stack
Benchmarking | Deep learning | Direct Preference Optimization | Fine Tuning | Generalized Reward Policy Optimization | Language Models | Language Processing | Large Language Models | Low Latency | Low Latency Inference | Machine Learning | Model Deployment | Natural Language | Natural Language Processing | Policy Optimization | Preference Learning | Preference optimization | Reinforcement Learning | Reinforcement Learning from AI Feedback | Reward Modeling | SGLang | Supervised Fine Tuning | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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