Machine Learning Researcher Fellowship

Job Description

Intercom is offering a 6-month Machine Learning Research Fellowship for individuals passionate about AI and its real-world applications. The fellow will work on AI research projects, contributing to the broader AI research community through publications and presentations. This is a unique opportunity to advance the field of AI and apply cutting-edge research to customer service.

What the role involves:

• Conducting advanced research in NLP, deep learning, reinforcement learning, and recommendation systems.
• Developing and prototyping machine learning models for AI-driven customer interactions.
• Contributing to academic research through publications.
• Exploring emerging AI research areas and developing long-term strategies.
• Participating in external collaborations with researchers and institutions.

Requirements:

• Pursuing or completed a PhD in Computer Science, Machine Learning, AI, or a related field, or equivalent industry research experience.
• 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.
• Excellent communication skills.

What the 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.