【機器學習實習生】Machine Learning Intern

At Positive Grid, we are on a mission to revolutionize the world of music production through cutting-edge technology. Our Machine Learning team is in search of a proactive, effective communicator, and dedicated Machine Learning Intern to drive advancements in guitar and music production technologies. Our projects encompass music generation, guitar amp and pedal modeling, and various machine learning-based innovations, all aimed at expanding Positive Grid's ecosystem for guitar music creation.

As a Machine Learning Intern, you will have the opportunity to:

- Explore the latest developments in deep learning technologies for music and apply them to mainstream market products.
- Collaborate closely with our seasoned machine learning engineers to gain hands-on experience in the field.
- Assist in gathering relevant documents, conducting research paper analyses, summarizing findings, and preparing internal presentations
- Contribute to data engineering tasks aimed at optimizing data for machine learning applications.

【Typical Accountabilities】

As a Machine Learning Intern, your key responsibilities will encompass:

- Researching and summarizing the latest music-related research papers for internal sharing.
- Exploring and experimenting with a wide range of guitar modeling techniques, including guitar amp and pedal modeling, as well as various other guitar and music-related topics.
- Collaborating with the team to seamlessly integrate large language models into our products.
- Undertaking critical data engineering tasks to ensure data is well-prepared for machine learning applications.

These essential duties play a pivotal role in contributing to the development and innovation of our guitar and music production technologies.

【Essential】

Education and Requirements:

- Students majoring in Computer Science, Mathematics, Data Science, or related fields such as Electrical Engineering, who are in their junior year (third year) or higher.
- Application Requirements: Candidates must submit a resume, a personal statement, and transcripts reflecting their academic performance from the past two years.
- Internship Duration: Availability for a minimum of six months, committing to at least three days per week, including the option for one day of remote work.

Skills:

- Proficiency in the Python programming language, with previous experience using machine learning libraries.
- Fundamental knowledge of operating systems, parallel processing, and object-oriented programming concepts.


【Desirable】

- Academic Background: Demonstrated experience with music-related projects, research, or coursework, especially in the field of Music Information Retrieval (MIR).
- Music Enthusiast: Proficiency in music theory and a genuine passion for music, with a strong interest in guitar playing, music production, or proficiency in any musical instrument.
- Industry Passion: A demonstrable enthusiasm for the guitar and music industry.

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https://positivegrid.teamdoor.io/s/sn3Aj7uh