Senior Research Scientist (Machine Learning, NLP, Generative AI)
Tasks
- Assess emerging research applicability
- Collaborate with applied AI and engineering teams to enable adoption
- Communicate technical research findings and recommendations
- Design and conduct advanced experiments
- Develop scalable reproducible and maintainable machine learning solutions
- Drive innovation in information retrieval recommendation systems and NLP
- Lead machine learning innovation development
- Lead scientific publications patents and conference submissions
- Mentor and support scientists
- Promote scientific rigor and best practices
- Research evaluate and adapt state of the art machine learning techniques
Perks/Benefits
- Employee Assistance Program (EAP)
- Flexible working environment
- Home-office work model
- LinkedIn Learning
- Volunteer time off
Skills/Tech-stack
Agentic Systems | Artificial Intelligence | ChromaDB | Databricks | Deep learning | Elasticsearch | Faiss | Generative AI | Git | Hugging Face | Information Retrieval | Knowledge graphs | LLMs | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Pandas | Pinecone | Product Matching | PyTorch | Python | RAG | Recommendation Systems | Representation Learning | SQL | Scikit-learn | Semantic Search | Transformer | Vector Databases | Vector embeddings
Education
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