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Research Engineer - Generative AI
Research Engineer - Generative AI
As a Research Engineer in Generative AI at Neo4j, you will design and develop advanced AI and machine learning solutions for language understanding, entity extraction, and entity resolution. Your role involves blending research with practical application to create graph-powered solutions for the GenAI product suite and integrating findings into customer-facing products.
About the role
About the Role
Join Neo4j's Generative AI (GenAI) team, where we are building advanced AI and machine learning solutions. As an AI Research Scientist, you will be instrumental in designing and developing the next generation systems for language understanding, entity extraction, and entity resolution. Your work will blend research with practical application to create graph-powered solutions for our GenAI product suite.
Key Responsibilities
- Design and develop AI systems for natural language processing, entity extraction, and entity resolution, focusing on scalability and performance.
- Conduct research to improve algorithms and models for NLP and entity-centric systems.
- Build and deploy AI solutions, integrating them with Neo4j’s graph database technologies.
- Work with engineering and product teams to incorporate research findings into customer-facing products.
- Share expertise with colleagues to support team projects and goals.
Minimum Qualifications
- PhD in Computer Science, Machine Learning, Natural Language Processing, or a related field.
- 3+ years of experience (including PhD work) in NLP, entity extraction, or entity resolution, with a focus on applying research to practical systems.
- Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
- Experience with software development practices, including version control and model deployment.
- Familiarity with graph databases or knowledge graphs is a plus.
Skills
PythonPyTorchTensorFlowHugging Face TransformersVersion ControlModel DeploymentGraph DatabasesKnowledge GraphsNlpNatural Language ProcessingEntity ExtractionEntity ResolutionMachine Learning