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python pytorch machine learning ai llmπ Description
- Lead applied research and development for core models and guardrail datasets.
- Partner with eng, Product, and CS to enable value from AI observability.
- Design, train, and ship production classifiers for safety, security, and quality.
- Lead the development of synthetic and adversarial dataset pipelines.
- Drive the technical direction of generative insights for AI diagnostics.
- Contribute to evaluation infrastructure for model quality and drift.
π― Requirements
- 7+ years applied AI experience delivering production models.
- LLM/Agentic evals and guardrailing experience.
- Deep expertise training/fine-tuning classifiers; encoder architectures (BERT-family).
- Dataset development: sourcing, labeling, synthetic generation, adversarial augmentation, QC.
- Python, PyTorch, HuggingFace; proficiency with ML stack.
- Production readiness: real-time inference, monitoring, rollout; strong communication.
π Benefits
- Unlimited PTO
- Competitive pay + equity
- Premium health, dental & vision (100% premiums covered for employee)
- 401(k) plan
- Monthly fitness reimbursement
- Paid parental leave
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