Offer summary

Qualifications:

Master’s degree or higher in Computer Science, Engineering, AI, or related fields., 2-3 years of experience in developing and deploying machine learning models., Proficiency in multi-agent reinforcement learning and decentralized AI., Strong software engineering skills, particularly in Python and scalable systems..

Key responsabilities:

Develop and scale multi-agent reinforcement learning models for sustainable urban solutions.

Integrate smart city modeling tools to enhance urban infrastructure systems.

Collaborate with research and product teams to transition models into production.

Refine system dynamics and capabilities of decentralized AI systems.

Job description

Machine Learning Engineer

100% Remote - US or Canada

VERSES is a cognitive computing company building next-generation intelligent software systems modeled after the Wisdom and Genius of Nature. We are a distributed, diverse, and inclusive workforce that aspires to do our best work on important problems with exceptional people.

We’re looking for trailblazers and problem solvers passionate about tackling important global-scale challenges so if that sounds appealing, let’s imagine a smarter world together.

🚀Join Our Adventure!

At VERSES, we're shaping the future of computing with our natural computing platform, Genius. We're looking for a Machine Learning Engineer to join the Ecosystems team, working on sustainability, alignment and multi-agent coordination projects to benchmark active inference over known reinforcement learning challenges.

✍️Role and Responsibilities

As a Machine Learning Engineer you will:

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.

🎓Essential Qualifications

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.
Familiarity with probabilistic programming, Active inference bonus
Familiarity with CityLearn framework or similar AI-driven sustainability tools.
Strong software engineering skills, including experience with Python, ML deployment, and scalable systems.

🌱In addition to fostering a culture of highly engaged, emotionally intelligent, and energetic people we offer:

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

🌟Job Type

Regular, Full-time

Remote - USA or Canada

Starting at $150,000 for US based individuals; geographically adjusted as appropriate to location.

VERSES is unable to offer visa sponsorship or assistance with work authorization for this position. Only candidates authorized to work in the United States and Canada without the need for sponsorship will be considered.

VERSES currently does not accept agency resumes. Please do not forward resumes to our careers email or to VERSES employees. VERSES is not responsible for any fees or overhead related to unsolicited resumes. No agencies, please.

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