Internship: Machine Learning – Digital Twin & Grid Analytics
About Neara
Neara, an Australian Tech Unicorn, creates engineering-grade digital twins to stress-test power grids against extreme weather. Using AI and physics-based simulations, we help global utilities pinpoint risks across millions of kilometers. Our mission is to optimize infrastructure investments and build a more resilient energy future. We are a team of brilliant minds dedicated to solving complex real-world engineering challenges. Join us as we scale our innovative technology to protect every corner of the globe.
Internship: Machine Learning – Digital Twin & Grid Analytics
We are seeking analytical, technical students to join our Vilnius team for a comprehensive internship program. This role is designed for those who wish to apply Mathematics and Computer Science principles to solve critical infrastructure challenges.
Our training program is structured to rapidly build your proficiency in our proprietary software and the engineering processes behind grid simulation. This is a high-impact opportunity to gain technical expertise in an industry-leading AI environment.
What You Will Do:
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Assist in gathering training data from various internal sources, ensuring accuracy and relevance.
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Gain hands-on experience in configuring and handling data within Neara’s software platform to meet ML needs
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Work with ML engineers to understand data requirements for specific projects
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Collaborate with and provide support to fellow team members
Who You Are:
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You are a student in Mathematics, Computer Science, or a related field
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Strong ability to process complex data and understand systemic dependencies
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Ability to quickly master sophisticated, specialized software tools
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Proficiency in English, as you will be collaborating with a global team
What We Offer:
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Paid internship
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Work on real-world problems from day one – no “intern tasks”
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Grow fast by taking ownership, not just following instructions
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Learn cutting-edge tools and technologies in data and infrastructure
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Join a team that values curiosity, initiative, and problem-solving