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- Tasks: Design and develop AI systems for natural language processing and entity extraction.
- Company: Neo4j is a leader in Graph Database & Analytics, transforming data relationships for top companies.
- Benefits: Enjoy a full-time role with opportunities for remote work and collaboration with industry leaders.
- Why this job: Join a team driving innovation in AI, impacting major organisations and solving real-world problems.
- Qualifications: PhD in a relevant field and 3+ years of experience in NLP or machine learning required.
- Other info: Be part of a vibrant community of over 250,000 developers and data scientists.
The predicted salary is between 36000 - 60000 £ per year.
About Neo4j
Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.
At Neo4j, we’re proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart.
Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving its accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j’s cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at neo4j.com and follow us on LinkedIn.
Our Vision
At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.
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.
Seniority level Associate
Employment type Full-time
Job function Engineering and Information Technology
Industries IT Services and IT Consulting and Software Development
Research Engineer - Generative AI employer: Neo4j
Contact Detail:
Neo4j Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer - Generative AI
✨Tip Number 1
Familiarise yourself with Neo4j's technology and its applications in generative AI. Understanding how graph databases enhance AI systems will give you an edge during discussions and interviews.
✨Tip Number 2
Engage with the Neo4j community on platforms like LinkedIn or GitHub. Networking with current employees or contributors can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Showcase your practical experience with machine learning frameworks such as PyTorch or TensorFlow. Be prepared to discuss specific projects where you've applied these technologies, as this will demonstrate your hands-on skills.
✨Tip Number 4
Stay updated on the latest trends in natural language processing and entity extraction. Being knowledgeable about recent advancements will not only help you in interviews but also show your passion for the field.
We think you need these skills to ace Research Engineer - Generative AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in natural language processing, entity extraction, and machine learning. Use specific examples from your past work or research that align with the responsibilities of the Research Engineer role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for generative AI and graph databases. Discuss how your background and skills make you a perfect fit for Neo4j, and mention any notable projects or achievements that demonstrate your expertise.
Showcase Technical Skills: Clearly outline your proficiency in Python and any machine learning frameworks like PyTorch or TensorFlow. If you have experience with graph databases, be sure to include that as well, as it’s a plus for this position.
Highlight Research Experience: Since the role involves conducting research, detail any relevant research projects you've worked on, especially those related to NLP or entity-centric systems. Emphasise your ability to apply research findings to practical applications.
How to prepare for a job interview at Neo4j
✨Showcase Your Research Experience
Make sure to highlight your PhD work and any relevant research projects during the interview. Discuss specific algorithms or models you've developed, especially in NLP, entity extraction, or entity resolution, as this will demonstrate your expertise and suitability for the role.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with Python and machine learning frameworks like PyTorch or TensorFlow. You might be asked to solve a technical problem or explain how you would approach a specific task, so brush up on your coding skills and be ready to showcase your knowledge.
✨Understand Neo4j's Products
Familiarise yourself with Neo4j’s graph database technologies and their applications in generative AI. Understanding how their products work and the problems they solve will help you align your answers with the company's goals and show your genuine interest in the role.
✨Prepare Questions for the Interviewers
Have insightful questions ready to ask your interviewers about the team, ongoing projects, and the future of generative AI at Neo4j. This not only shows your enthusiasm but also helps you gauge if the company culture and direction align with your career aspirations.
