Software Engineer - Machine Learning
Tasks
- Apply DPO to optimize guardrail performance
- Apply RLHF to optimize guardrail performance
- Build evaluation harnesses for safety metrics
- Build prompt safety classifiers
- Collaborate with security and product teams
- Curate adversarial training data
- Deploy hybrid on device and cloud safety inference
- Design prompt injection detection models
- Document methods and contribute to publications
- Generate jailbreak and unsafe output examples
- Integrate safety models into agent workflows
- Measure false positive rate and latency
- Train guardrail models
Perks/Benefits
- N/A
Skills/Tech-stack
Accelerate | Adversarial Data | Adversarial Data Generation | Adversarial Training | Content Moderation | Core ML | DPO | Data Curation | Data Generation | DeepSpeed | Distillation | Distributed Training | Edge ML | Edge ML deployment | Executorch | FSDP | JAX | Jailbreak detection | LLM | ML deployment | MLC LLM | Machine Learning | Network Compression | Neural Network | Neural Network Compression | ONNX | Preference Data Curation | Preference data | Prompt injection | Pruning | PyTorch | Python | Quantization | RLAIF | RLHF | Red Teaming | Reward Design | Reward Modeling | TFLite | TensorFlow
Education
Regions
Countries
States
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