Principal AI Engineer - Personalization and Recommendation (Remote)
Tasks
- Build ML infrastructure and data pipelines
- Build production grade recommendation engines
- Define AI safety standards
- Design AI ranking relevance and matching systems
- Develop MLOps pipelines
- Develop retrieval models and embeddings
- Ensure compliant AI in regulated environments
- Execute online A B testing
- Integrate LLMs into clinical workflows
- Run offline model evaluation metrics
Perks/Benefits
- 401k
- Community resource groups
- Dental insurance
- Disability insurance
- Employee assistance program
- FSA
- HSA
- Health insurance
- Home office stipend
- Life insurance
- Paid parental leave
- Paid time off
- Remote work
- Team building stipend
- Vision insurance
- Wellness stipend
Skills/Tech-stack
A/B | A/B Testing | AI Safety | B testing | Data Pipelines | Deep learning | Elasticsearch | Embeddings | Faiss | GDPR | Generative AI | Go | HIPAA | Java | Language Models | Language Processing | Large Language Models | Learning-to-Rank | MAP | MLOps | Machine Learning | Milvus | NDCG | NLP | Natural Language | Natural Language Processing | OpenSearch | Pinecone | Python | Recommendation Systems | Retrieval-Augmented Generation | Semantic Search | TypeScript | Vector Databases | Weaviate
Education
N/A
Roles
Regions
Countries
States
Cities
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