Embark on a paid Machine Learning Residency with Fillip Fleet and contribute to creative fleet operation solutions. Collaborate with top AI scientists to develop impactful LLM applications.

This 12-month residency offers the chance to blend machine learning expertise with fleet operations complexities. Successful candidates will join a cross-functional team, utilizing skills in ML research, software engineering, and product development. This position includes mentorship from industry leaders and direct client engagement.

Key Responsibilities:
• Design and implement multi-agent natural language policies
• Develop entity resolution components for conversational references
• Create simulations for policy change impacts
• Build evaluation infrastructure for agent systems
• Conduct applied LLM research to enhance automation

Requirements:
• MSc or PhD in Computer Science or related field
• Experience with LLM-based agents and AI frameworks
• Proficiency in Python and SQL
• Familiarity with cloud data tools
• Eligible to work in Canada

Leverage your machine learning skills to shape the future of fleet management at Fillip Fleet.
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📌 Machine Learning Residency at Fillip Fleet (Alberta)
🏢 RGIT Australia
📍 Alberta