At a Glance
- Tasks: Design and develop cutting-edge AI systems for language understanding and entity extraction.
- Company: Join Neo4j's innovative Generative AI team, shaping the future of AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact in AI research while working with advanced technologies.
- Qualifications: PhD in relevant field and 3+ years experience in NLP or machine learning.
The predicted salary is between 60000 - 80000 £ per year.
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.
Research Engineer - Generative AI in London employer: Gravity Engineering Services Pvt Ltd.
At Neo4j, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to push the boundaries of technology. As a Research Engineer in Generative AI, you will have access to cutting-edge resources and opportunities for professional growth, all while working in a vibrant location that encourages creativity and teamwork. Join us to be part of a forward-thinking team dedicated to making a meaningful impact in the field of AI and machine learning.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer - Generative AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space, especially those who work at Neo4j or similar companies. Attend meetups, webinars, or conferences to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to NLP, entity extraction, or generative AI. This can be a great conversation starter during interviews and helps us see your practical application of research.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and familiarising yourself with machine learning frameworks like PyTorch and TensorFlow. Practice coding challenges and algorithm questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Neo4j.
We think you need these skills to ace Research Engineer - Generative AI in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in NLP, entity extraction, and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD work and practical applications!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about generative AI and how your background makes you a perfect fit for our team. Let us know what excites you about working with Neo4j’s graph database technologies.
Showcase Your Technical Skills:We love seeing your technical prowess! Be sure to mention your proficiency in Python and any machine learning frameworks you’ve worked with, like PyTorch or TensorFlow. If you have experience with version control or model deployment, shout about it!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our team and culture!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨Know Your Stuff
Make sure you brush up on your knowledge of natural language processing and entity extraction. Be ready to discuss your past projects and how they relate to the role. Highlight any experience you have with Python and machine learning frameworks like PyTorch or TensorFlow.
✨Showcase Your Research
Prepare to talk about your PhD work and any relevant research you've conducted. Think about how your findings can be applied in practical systems, especially in relation to Neo4j’s graph database technologies. This will show that you can bridge the gap between theory and application.
✨Collaboration is Key
Since you'll be working with engineering and product teams, emphasise your teamwork skills. Share examples of how you've collaborated on projects in the past and how you can contribute to team goals. This will demonstrate that you're not just a lone wolf but a team player.
✨Ask Smart Questions
Prepare insightful questions about the company’s GenAI products and their future direction. This shows your genuine interest in the role and helps you understand how you can fit into their vision. Plus, it gives you a chance to engage with your interviewers on a deeper level.
