Research Engineer - Generative AI

Research Engineer - Generative AI

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Gravity Engineering Services Pvt Ltd.

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 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.

Gravity Engineering Services Pvt Ltd.

Contact Details:

Gravity Engineering Services Pvt Ltd. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Engineer - Generative AI

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. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects in NLP, entity extraction, or any relevant work. This is your chance to demonstrate how you can apply your research practically, so make it shine!

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how they relate to the role. Practice makes perfect, so consider mock interviews with friends or mentors.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Research Engineer - Generative AI

Natural Language Processing (NLP)
Entity Extraction
Entity Resolution
AI System Design
Scalability and Performance Optimisation
Algorithm Improvement
Python Programming

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in NLP and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!

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 the role!

Showcase Your Technical Skills:Since we’re looking for someone proficient in Python and machine learning frameworks, make sure to mention any specific projects where you’ve used these tools. We love seeing practical applications of your research!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

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. We recommend preparing specific examples that showcase your experience with Python and machine learning frameworks like PyTorch or TensorFlow.

Research Neo4j

Familiarise yourself with Neo4j’s products and how they integrate AI solutions. Understanding their graph database technologies will give you an edge. We suggest checking out their latest developments and thinking about how your skills can contribute to their GenAI product suite.

Prepare for Technical Questions

Expect technical questions that test your understanding of algorithms and models in NLP. We advise practising coding problems and discussing your thought process clearly. This will help demonstrate your problem-solving skills and your ability to apply research to practical systems.

Show Your Collaborative Spirit

Since the role involves working with engineering and product teams, be prepared to discuss how you’ve collaborated in the past. We encourage you to share examples of how you’ve supported team projects and goals, as this will highlight your teamwork skills and adaptability.