Machine Learning Engineer- AI Safety & Security
Tasks
- Automate monitoring for scalable safety
- Define and track safety metrics for responsible LLM behavior
- Detect and mitigate bias in LLMs
- Develop datasets for evaluating LLM models
- Develop moderator models for content safety
- Develop safety tools for ML teams
- Perform exploratory data analysis
- Preprocess and transform large datasets
- Train LLM models with SFT
- Train LLM models with reinforcement learning
Perks/Benefits
Skills/Tech-stack
Adversarial Robustness | Bias detection | Content Safety | Data Analysis | Data Preprocessing | Data Visualization | Exploratory Data Analysis | Fine Tuning | Git | Language Models | Large Language Models | ML Fairness | Machine Learning | Model Fine-tuning | Multilingual | Multimodal Learning | NumPy | Pandas | Prompt injection | PyTorch | Python | Reinforcement Learning | Scikit-learn | Supervised Fine Tuning | TensorFlow | Version control
Education
Regions
Countries
States
Cities
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