Forward Deployed Engineer Lead | LLM Post-training
Tasks
- Build RL training environments
- Build evaluation harnesses
- Collect preference data
- Create data pipelines from raw data to training ready datasets
- Curate test sets and baselines
- Define evaluation metrics
- Define training strategies for model customization
- Deploy post trained models to cloud VPC and on premises
- Design reward signals and verifiers
- Evaluate models against customer benchmarks
- Generate synthetic data for training
- Inspect clean and standardize datasets
- Lead post training engagements with enterprise customers
- Mentor engineers and define technical playbooks
- Optimize inference cost and reliability
- Prepare training datasets
- Run RL training loops
- Train reward models
Perks/Benefits
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Paid time off
- Parental leave
- Relocation support
- Vision insurance
Skills/Tech-stack
Data Generation | Data Pipelines | Dataset versioning | Distributed Training | Evaluation methodology | GPU clusters | Human Feedback | Language Models | Large Language Models | Learning from Human Feedback | Model Deployment | Preference optimization | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Reward Modeling | Synthetic Data Generation | Synthetic data | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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