AI Researcher Fellowship Position

5 days ago


Dublin, Dublin City, Ireland Intercom Full time

At Intercom, we are driving innovation in AI for customer service. We are seeking a highly skilled researcher to contribute to cutting-edge projects in machine learning and artificial intelligence.

About the Opportunity

This fellowship provides a unique chance for individuals passionate about AI research to conduct or begin work on high-impact projects. Applicants will typically be PhD students, postdoctoral researchers, or industry professionals with a strong background in deep learning, reinforcement learning, NLP, or unsupervised learning.

We welcome applications from individuals with relevant mathematical or technical skills but without much experience in AI. Fellows will work towards building and improving their understanding of modern AI through project work, on risky and uncertain AI projects.

Key Responsibilities
  • Conduct advanced research in Natural Language Processing (NLP), deep learning, reinforcement learning, and recommendation systems relevant to customer service and communication.
  • Develop and prototype machine learning models that enhance AI-driven customer interactions.
  • Contribute to academic research through publications in top-tier conferences and journals.
Requirements

To be considered for this fellowship, you should have:

  • A strong research publication record in machine learning, AI, or NLP.
  • Experience bridging academic research and industry applications.
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Excellent communication skills, with the ability to convey complex research to technical and non-technical audiences.
Why Join Our Fellowship Program?

By joining our fellowship program, you will have the opportunity to work on high-impact projects that shape the future of AI in customer service. You will gain hands-on industry experience while maintaining strong research connections and collaborating with a diverse and talented team of ML engineers, researchers, and product teams.



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