Benefits:

• Health insurance

• Top-of-market compensation

• Flexible vacation

• Employee-friendly equity terms

• Sell equity along the way: Unlike most startups, we don’t believe in holding you captive with golden handcuffs. When there are opportunities for you to sell a portion of your vested stock, we offer them.

Benefits:

• Global virtual work environment

• Responsible paid time off policy (RTO)

• Company-recognized Holidays

• Generous total rewards package

Education Requirements:

• Master’s degree or higher in Computer Science, Engineering, AI, or related fields.

Experience Requirements:

• 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.

Other Requirements:

• 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.

• 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.

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.

Benefits:

• Global virtual work environment

• Responsible paid time off policy (RTO)

• Company-recognized Holidays

• Generous total rewards package

Education Requirements:

• Bachelor's degree in Computer Science or a related field or equivalent years of work experience

Experience Requirements:

• At least 10 years of experience in software engineering, with a focus on developing solutions for, and supporting, enterprise-scale applications.

• Proficiency in at least one “server-side” programming language, such as Python, Rust, or Node.js

• Experience with cloud technologies (AWS, Azure, GCP), containerization (Docker, Kubernetes), and databases (MySQL, PostgreSQL, MongoDB) Experience with pub sub technologies such as RabbitMQ, Kafka, and Reddis.

• Strong understanding of web technologies and standards, such as REST/CRUD, HTTP, DNS and web security

• Experience with DevOps and security practices

Other Requirements:

• Experience with API design and development

• Experience working with IoT and edge computing technologies

• Experience with agile software development methodologies

• Understanding of core machine learning and AI concepts, including generative models (like GPTs), and an awareness of emerging paradigms such as active inference

• VERSES is unable to offer visa sponsorship or assistance with work authorization for this position. Only candidates authorized to work in the United States 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.

Responsibilities:

• Migrating research concepts and ideologies (ie Active Inference) into production software

• Evolve our agentic platform promoting scalability and maintainability furthering the state of the art

• Rapidly prototype systems for live demonstration, applying cutting-edge technologies to connect the physical and digital worlds

• Work closely with partners to develop and implement solutions as they onboard to the Genius Platform, ensuring a seamless integration and adoption process.

• Collaborate with cross-functional teams, including researchers, designers, and other engineers, to define software requirements and guarantee successful implementation.

Responsibilities:

• Guide product vision with purpose, ensuring every solution aligns with ethical and operational excellence.

Responsibilities:

• Design advanced algorithms with precision, driving responsible, cutting-edge AI applications that empower industries.

Responsibilities:

• Establish and enforce ethical guidelines, maintaining strict standards in data usage and technology implementation.

Responsibilities:

• Craft intuitive, user-centered experiences that embody LunarTech’s dedication to human-centric design and accessibility.

Responsibilities:

• Engineer robust, scalable solutions that meet both current and future technology needs with uncompromised quality.

Responsibilities:

• Identify and drive strategic advancements, ensuring all technological developments align with LunarTech’s core values.

Responsibilities:

• Protect critical systems and data integrity through vigilant monitoring and adaptive security strategies.

Benefits:

• Unlimited vacation

• Flexible working hours

• Remote work possible

Experience Requirements:

• 5+ years of SW product planning and commercialization experience

Other Requirements:

• Fluent in English (written and verbal, native level)

• Portfolio submission required

Responsibilities:

• Manage/improve machine learning solutions based on understanding of customers and communication with various internal stakeholders.

• Derive development priorities and establish/execute product management processes by comprehensively considering business strategy, customer value chain, and development resources.

• Understand and execute the process of delivering products to B2B customers.

Benefits:

• Unlimited vacation

• Flexible working hours

• Remote work possible

Responsibilities:

• Connect our technology with customer needs

• Derive insights and strategic suggestions based on customer data

• Design and build data-based consulting services

• Conduct modeling using our AutoML solution DAVinCI LABS

• Provide training on how to use the solution and lectures on machine learning theory

Benefits:

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) with equity options

• Direct impact on the product in a cutting-edge company that’s reshaping cloud automation and optimization

• Collaborate with a global team of top cloud experts and innovators passionate about pushing the boundaries of Kubernetes technology

• Fast development cycles with a short feedback loop and direct customer impact

• Transparent work environment Focus time with minimal meetings and bureaucracy 10% of your time dedicated to self-improvement and personal projects.

Experience Requirements:

• Strong software engineering skills with experience in distributed systems and backend development (ideally GoLang, but not a hard requirement as long as you’re willing to transition to it)

• Strong debugging, optimization, and performance-tuning skills

• Deep understanding of cloud platforms: hands-on experience with cloud platforms like AWS, Google Cloud Platform (GCP), Microsoft Azure, and tools such as Kubernetes for containerization and orchestration

• CI/CD and DevOps practices experience

• Strong English skills, both verbal and written Ability to work independently and collaboratively within a team Startup mindset: adaptable, proactive, and comfortable with ambiguity A proactive, problem-solving mindset with a "yes we can" attitude.

Benefits:

• Join a fast-growing, cutting-edge company that’s redefining cloud-native automation and optimization.

• Work with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.

• Enjoy a flexible, remote-first work environment with opportunities to travel and engage with customers worldwide.

• Competitive compensation package, equity options, and extensive benefits.

Experience Requirements:

• Proven experience in Opportunity Assessment, Value Discovery, Value Demonstration, and Value Delivery

• 5+ years of experience as an Account Executive

• 2+ years of experience working with MEDDIC

• Ability to identify key contacts, understand client needs, and tailor proposals to address those needs

• Demonstrated success in negotiation and closing, with a commitment to long-term customer satisfaction

Other Requirements:

• Outbound Obsession

• Experience with Kubernetes, sales lifecycle, and Cloud space is a significant plus

Benefits:

• Generous PTO

• Medical, Dental, Vision

• L&D Resources

• Retirement savings plan

• Fully remote team Home office stipend Flexible hours Reimbursements

Experience Requirements:

• 4+ years of experience in a Sales Engineer, Solutions Architect, or Data Engineer role.

Responsibilities:

• Partner with sales to lead technical discussions and showcase Telmai’s capabilities through demos and presentations.

• Guide prospects through POCs, helping them set up, configure, and validate Telmai within their data environments.

• Assist customers in onboarding and provide technical guidance to ensure successful adoption.

• Map customer pain points to Telmai’s platform capabilities and advise on best practices for implementation.

• Represent Telmai at industry events, webinars, and technical discussions to build awareness and credibility. Product Feedback Loop: Act as the voice of the customer, providing insights to the product team for continuous improvement. Documentation & Knowledge Sharing: Contribute to technical documentation, FAQs, and customer resources.

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work