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.#J-18808-Ljbffr

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