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. #J-18808-Ljbffr

📌 Machine Learning Residency At Fillip Fleet Winnipeg
🏢 RGIT Australia
📍 Winnipeg