Machine Learning Engineer

Summary

Join VERSES, a cognitive computing company building intelligent software systems, as a Machine Learning Engineer on the Ecosystems team. You'll develop and deploy multi-agent reinforcement learning models for sustainable urban solutions, integrate CityLearn framework and other smart city modeling tools, collaborate with research and product teams, and continuously refine system dynamics and decentralized AI system capabilities.

Requirements

• Master’s degree or higher in Computer Science, Engineering, AI, or related fields
• A minimum of 2-3 years of experience developing and deploying machine learning models
• Proven proficiency in multi-agent reinforcement learning, decentralized AI, and smart city infrastructure modeling
• Strong software engineering skills, including experience with Python, ML deployment, and scalable systems

Responsibilities

• Develop, deploy, and scale multi-agent reinforcement learning models within decentralized AI systems for sustainable urban solutions (EcoNet)
• Integrate CityLearn framework and other smart city modeling tools to enhance adaptive, resilient urban infrastructure systems
• Collaborate closely with research and product teams to transition research models into production-ready systems
• Continuously refine system dynamics and decentralized AI system capabilities

Preferred Qualifications

• Familiarity with probabilistic programming, Active inference bonus
• Familiarity with CityLearn framework or similar AI-driven sustainability tools

Benefits

• Global virtual work environment (although some positions may need to operate within specific time zones)
• Responsible paid time off policy (RTO), and company-recognized Holidays
• Generous total rewards package