Machine Learning Researcher Fellowship at Intercom

Intercom is offering a 6-month Machine Learning Research Fellowship for individuals passionate about AI. The fellow will contribute to building and improving understanding of modern AI through project work, focusing on risky and uncertain AI projects.

Company: Intercom

Role Involves:

• Conduct advanced research in NLP, deep learning, reinforcement learning, and recommendation systems.
• Develop and prototype machine learning models that enhance AI-driven customer interactions.
• Contribute to academic research through publications in top-tier conferences and journals.
• 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.

Requirements:

• Pursuing or completed a PhD in Computer Science, Machine Learning, AI, or a related field, or possess equivalent industry research experience. Those with other quantitative fields with relevant 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.

What role offers:

• Work on high-impact projects that shape the future of AI in customer service.
• Gain hands-on industry experience while maintaining strong research connections.
• Collaborate with a diverse and talented team.
• Access mentorship from senior AI/ML experts.
• Flexible working environment with the potential to publish and showcase research.