Cutting-Edge AI Research Experience

3 days ago

Dublin, Dublin City, Ireland Intercom Full time
Machine Learning Research Fellowship

We are seeking highly qualified individuals to join our 6-month Machine Learning Research Fellowship program at Intercom. This fellowship offers a unique opportunity to work on cutting-edge AI research projects that impact customer service and collaboration.

About the Role

As a fellow, you will be responsible for conducting advanced research in areas like Natural Language Processing, deep learning, reinforcement learning, and recommendation systems. You will also contribute to academic research through publications in top-tier conferences and journals.

Your Opportunities
  • Develop and prototype machine learning models that enhance AI-driven customer interactions.
  • Explore emerging AI research areas and develop long-term strategies to advance the use of AI in customer service.
  • Participate in external collaborations with researchers, universities, and technical institutions.
Potential Projects
  • Replicate the work of Deepseek r1-zero to attempt to use reinforcement learning to train models for better instruction following.
  • Follow and build on the work of Anthropic on Scaling Monosemanticity to attempt to learn how to steer and control models.
  • Follow and build on the work of the Llama3 paper to investigate training new Capabilities into existing open-source models.
  • Experiment with altering model personality in a way that could be useful in Customer Support.
  • Investigate fine-tuning smaller models with SFT to use for specific use cases.
  • Create benchmarks for agents that need to take actions reliably.
  • Evaluate building systems that use computer-use models to drive web browsers and integrate with legacy business systems.
Requirements
  • A strong background in Computer Science, Machine Learning, AI, or related fields, or equivalent industry research experience.
  • Experience bridging academic research and industry applications.
  • Previous contributions to open-source AI research.
  • Strong background in deep learning, reinforcement learning, NLP, or unsupervised learning.
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Proficient in Python and familiar with data processing techniques for large-scale datasets.
  • A strong research publication record in machine learning, AI, or NLP (NeurIPS, ICML, ACL, etc.).
  • Excellent communication skills, with the ability to convey complex research to technical and non-technical audiences.

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