Senior Research Scientist AI/ML, NLP & Information Retrieval

Key Responsibilities

• Design and implement state‑of‑the‑art NLP and information‑retrieval models, including transformer‑based architectures and dense vector embeddings.
• Develop and optimize end‑to‑end pipelines for training, evaluating, and deploying large‑scale deep learning models on cloud platforms such as Databricks.
• Integrate retrieval back‑ends (e.g., Elasticsearch, ChromaDB) with embedding models to enable fast, accurate semantic search.
• Conduct experiments, analyze results, and publish findings in internal reports or peer‑reviewed venues.
• Collaborate with cross‑functional teams to translate research breakthroughs into production‑ready services and APIs.

Requirements

• Ph.D. or equivalent experience in Computer Science, Machine Learning, or a related field with a focus on NLP or IR.
• 5+ years of hands‑on experience building and deploying deep learning models using Python and frameworks such as PyTorch or TensorFlow.
• Strong expertise in embedding techniques, transformer models, and large‑scale retrieval systems (e.g., Elasticsearch, ChromaDB).
• Proven ability to work with distributed computing environments and cloud platforms (e.g., Databricks, AWS).
• Excellent problem‑solving skills, a research mindset, and a track record of publishing or presenting technical work.