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    Machine Learning Intern - San Jose, United States - Antora Energy

    Antora Energy
    Antora Energy San Jose, United States

    3 weeks ago

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    Description

    At Antora, we're on a mission to stop climate change. And we can't do that unless we tackle the 30% of global emissions that come from industry.

    Antora is unlocking zero-emissions industrial energy, cheaper than fossil fuels. Antora's thermal batteries store energy from renewables as heat for days on end, delivering that stored energy as heat and power at the scale and temperatures that large industrial operations demand. We're on a path to eliminate gigatons of emissions while strengthening domestic manufacturing, curbing industrial air pollution, and enhancing America's clean energy leadership.

    We are growing our company with people who put team and mission first, value connection through laughter and joy, and build with humility and openness. We are committed to continue building a diverse, passionate, and creative team dedicated to a future where every industrial facility, everywhere on earth, is powered by abundant, low-cost, zero-emissions energy.

    Position Summary

    This internship offers a unique opportunity to gain hands-on experience in a cutting-edge research environment, contribute to meaningful projects, and collaborate with a team of dedicated professionals in the field. Overall, this position will provide you with a diverse skill set and a comprehensive understanding of scientific research, materials science, and engineering principles. We are committed to fostering your growth and development throughout your internship journey at Antora.

    We are seeking a Machine Learning Intern to join our team at Antora Energy, focusing on energy forecasting applications. As a Machine Learning Intern, you will work closely with our data science and engineering teams to develop and implement machine learning algorithms for accurate energy forecasting, contributing to the optimization of our thermal battery systems and renewable energy projects.

    Roles & Responsibilities

    Your internship project(s) can be tailored to your specific interests and ability to work onsite. Your key responsibilities may include:

    • Research and explore various machine learning techniques and algorithms suitable for energy forecasting applications.
    • Collect, preprocess, and analyze relevant data sets, including weather data, energy production data, and historical consumption patterns.
    • Develop and implement machine learning models for energy forecasting, leveraging techniques such as time series analysis, regression, and neural networks.
    • Train and validate machine learning models using historical data and evaluate their performance using appropriate metrics.
    • Optimize and fine-tune machine learning models to improve accuracy, robustness, and scalability.
    • Integrate machine learning models into existing systems and platforms for real-time energy forecasting and optimization.
    • Stay updated on the latest advancements in machine learning techniques, energy forecasting methodologies, and related technologies.

    Key Qualifications

    • Enrollment: Currently enrolled in an undergraduate or graduate program in Computer Science, Applied Mathematics, Data Science, or a related field.
    • Mission: Strong motivation to address climate change through the work we do at Antora.
    • Curiosity and Learning: A strong desire to learn new concepts and methodologies and work collaboratively with mentor(s) to achieve common goals.
    • Communication: Excellent written and oral communication skills.
    • Interpersonal Skills: Empathy, sensitivity, and ability to effectively interact with a broad and diverse range of colleagues.
    • Strong background in machine learning, with coursework or experience in relevant techniques such as time series analysis, regression, and neural networks.
    • Proficiency in programming languages such as Python, R, or MATLAB for machine learning model development and implementation.
    • Familiarity with machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
    • Experience with data preprocessing, feature engineering, and model evaluation techniques.
    • Excellent analytical and problem-solving skills, with the ability to think critically and creatively about energy forecasting challenges.
    • Detail-oriented with strong organizational skills and the ability to manage data sets and experiments effectively.

    Internship Dates

    • Group 1: Monday, June 3rd - Friday, August 9th
    • Group 2: Monday, June 17th - Friday, August 23rd

    Hourly Pay Range

    • $35 - $45 USD

    Benefits

    • None

    Location

    • Onsite in San Jose, CA

    We are excited to share our commitment to diversity, equity and inclusion in the workplace.

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