Embark on a paid Machine Learning Residency with Fillip Fleet and contribute to cutting-edge 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.
📌 Machine Learning Residency at Fillip Fleet (Edmonton)
🏢 RGIT Australia
📍 Edmonton
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