Remote Machine Learning Engineer

Description:

• VERSES is a cognitive computing company focused on building intelligent software systems inspired by nature.
• The position is 100% remote and open to candidates in the US or Canada.
• The company seeks individuals who are passionate about solving global-scale challenges.
• The Machine Learning Engineer will join the Ecosystems team to work on sustainability, alignment, and multi-agent coordination projects.
• Responsibilities include developing, deploying, and scaling multi-agent reinforcement learning models for sustainable urban solutions, integrating smart city modeling tools, collaborating with research and product teams, and refining system dynamics.

Requirements:

• Candidates must hold a Master’s degree or higher in Computer Science, Engineering, AI, or related fields.
• A minimum of 2-3 years of experience in developing and deploying machine learning models is required.
• Proven proficiency in multi-agent reinforcement learning, decentralized AI, and smart city infrastructure modeling is essential.
• Familiarity with probabilistic programming and active inference is a bonus.
• Experience with the CityLearn framework or similar AI-driven sustainability tools is preferred.
• Strong software engineering skills, particularly in Python, ML deployment, and scalable systems, are necessary.

Benefits:

• The position offers a global virtual work environment, although some roles may require operating within specific time zones.
• Employees benefit from a responsible paid time off policy and company-recognized holidays.
• A generous total rewards package is provided to employees.
• The starting salary for US-based individuals is $150,000, with adjustments based on geographic location.