Senior Research Scientist (Machine Learning, NLP, Generative AI)
Tasks
- Assess emerging research and identify opportunities for adoption
- Collaborate with applied AI and engineering teams to enable adoption of research outcomes
- Communicate technical vision research findings and strategic recommendations to stakeholders
- Design and conduct advanced experiments and feasibility studies
- Develop scalable reproducible and maintainable machine learning solutions and research frameworks
- Drive innovation in information retrieval recommendation systems product matching NLP and generative AI
- Lead development and application of machine learning innovations with minimal supervision
- Lead or contribute to scientific publications patents and conference submissions
- Mentor and support other scientists
- Research evaluate and adapt state of the art techniques to solve large scale AI problems
Perks/Benefits
- Employee Assistance Program (EAP)
- Flexible working environment
- Home office working model
- LinkedIn Learning
- Occasional team meetings at the office
- Volunteer time off
Skills/Tech-stack
ChromaDB | Databricks | Deep learning | Elasticsearch | Embeddings | Faiss | Generative AI | Git | Hugging Face | Information Retrieval | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Pandas | Pinecone | PyTorch | Python | RAG | Recommendation Systems | Representation Learning | SQL | Scikit-learn | Transformer Architectures | Vector Databases
Education
Regions
Countries
States
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