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- Tasks: Join our GenAI team to design and develop cutting-edge AI systems for language understanding.
- Company: Neo4j is the leader in Graph Database & Analytics, trusted by 84% of Fortune 100 companies.
- Benefits: Enjoy a vibrant culture, remote work options, and the chance to shape the future of data.
- Why this job: Be part of a fast-growing tech company making a real impact on global challenges.
- Qualifications: PhD in a relevant field with 3+ years experience in NLP and proficiency in Python.
- Other info: We value diversity and encourage all candidates to apply, regardless of qualifications.
The predicted salary is between 48000 - 72000 £ 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 it\’s 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.
#LI-hybrid
Why Join Neo4j?
Neo4j is, without question, the most popular graph database in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.
- Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.
- Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history.
- 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.
- Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success.
- Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform.
- A recent Forrester Total Economic Impact Study cited Neo4j as delivering 417% ROI to customers.
- Neo4j was named as a Visionary in the 2023 Gartner Magic Quadrant for Cloud Database Management Systems among 19 other recognized global DBMS vendors. Neo4j was also ranked as a Strong Performer among 14 top vendors in The Forrester Wave: Vector Databases, Q3 2024.
Research shows that members of underrepresented communities are less likely to apply for jobs when they don\’t meet all the qualifications. If this is part of the reason you hesitate to apply, we\’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.
One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application.
Neo4j Values:
Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values:
(we)-(:VALUE)->(relationships)
(we)-(:FOCUS_ON)->(userSuccess)
(we)-(:THRIVE_IN)->(:Culture {type: (\’Open\’, \’Inclusive\’)})
(we)-(:ASSUME)->(:Intent {direction:\’Positive\’})
(we)-(:WELCOME)->(:Discussions {nature: \’IntellectuallyHonest\’})
(we)-(:DELIVER_ON)->(ourCommitments)
Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j\’s recruitment process to understand how we will handle the personal data that you provide.
More information at #J-18808-Ljbffr
AI Research Scientist (NLP & Generative AI) employer: Neo4j
Contact Detail:
Neo4j Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Scientist (NLP & Generative AI)
✨Tip Number 1
Familiarise yourself with Neo4j's products and their applications in generative AI. Understanding how graph databases enhance NLP and entity extraction will help you articulate your insights during interviews.
✨Tip Number 2
Engage with the Neo4j community on platforms like LinkedIn or GitHub. Sharing your projects or insights related to NLP and generative AI can showcase your expertise and passion, making you a more attractive candidate.
✨Tip Number 3
Prepare to discuss your previous research and its practical applications. Be ready to explain how your work aligns with Neo4j's mission of leveraging data relationships to drive innovation.
✨Tip Number 4
Network with current or former employees of Neo4j to gain insights into the company culture and expectations. This can provide you with valuable information that can help you tailor your approach during the interview process.
We think you need these skills to ace AI Research Scientist (NLP & Generative AI)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in NLP, machine learning, and any specific projects related to entity extraction or resolution. Use keywords from the job description to align your skills with what Neo4j is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and graph databases. Discuss how your background aligns with Neo4j's mission and values, and provide examples of your previous work that demonstrate your expertise in the required areas.
Showcase Your Research Experience: Since the role involves research, include details about your PhD work and any publications or projects that showcase your contributions to NLP and generative AI. Highlight any practical applications of your research that relate to Neo4j's products.
Prepare for Technical Questions: Anticipate technical questions related to Python, machine learning frameworks, and graph databases during the interview process. Be ready to discuss your experience with model deployment and version control, as these are crucial for the role.
How to prepare for a job interview at Neo4j
✨Showcase Your Research Experience
As an AI Research Scientist, your research background is crucial. Be prepared to discuss your PhD work and any relevant projects in NLP or entity extraction. Highlight how your research can be applied practically, especially in relation to Neo4j's graph database technology.
✨Demonstrate Technical Proficiency
Make sure to brush up on your Python skills and familiarity with machine learning frameworks like PyTorch or TensorFlow. Be ready to discuss specific algorithms you've worked with and how they can enhance NLP systems, as this will be a key focus of the role.
✨Understand Graph Databases
While not mandatory, having a basic understanding of graph databases or knowledge graphs can set you apart. Familiarise yourself with how Neo4j operates and think about how your expertise in NLP can integrate with their technology to solve real-world problems.
✨Emphasise Collaboration Skills
Neo4j values teamwork and collaboration. Be prepared to share examples of how you've worked with engineering or product teams in the past. Discuss how you can contribute to team projects and support shared goals, reflecting the company's inclusive culture.
