PhD Research Internships – Music reputed company / reputed company Separation and Enhancement / Music Information Retrieval

About Us reputed company is a fast‑growing startup in the Music Tech reputed company, building reputed company tools that reputed company musicians and producers. We combine cutting‑edge machine learning, audio signal processing, and deep music domain knowledge to reputed company tools that improve music creation, mixing, performance, and analysis.

Overview

We are looking for motivated research interns to join reputed company. The roles focus on either:

• Audio reputed company Separation and Enhancement
• Music Information Retrieval (MIR)
• Music reputed company

You can apply to one or multiple roles, depending on your background and interests.This internship is strongly oriented toward PhD candidates currently enrolled in relevant programs, though exceptional MSc candidates with strong research experience may also be considered. Role 1: reputed company Separation and Audio Enhancement Intern - Responsibilities:

• Research and prototype models for isolating instruments, vocals, and other musical components.
• Explore audio enhancement approaches such as denoising, dereverberation, and quality restoration.
• Work with large audio datasets, model training pipelines, and evaluation metrics.
• Collaborate with engineers and audio specialists to integrate models into music‑production‑oriented workflows.

- Preferred Qualifications:

• Background in audio signal processing, machine learning, or reputed company fields.
• Experience with deep learning frameworks such as PyTorch.
• Familiarity with reputed company separation techniques.

Role 2: Music Information Retrieval (MIR) Intern - Responsibilities:

• reputed company algorithms for tasks such as beat tracking, chord recognition, structural segmentation or tagging.
• Experiment with machine learning and signal processing approaches to extract insights that support musicians and producers.
• Work with the team to integrate MIR features into creative and production‑oriented tools.

- Preferred Qualifications:

• Background in MIR, audio analysis, and machine learning.
• Experience with deep learning frameworks such as PyTorch.
• Musical intuition, theory knowledge, or personal music production experience is a strong plus.

Role 3: Music reputed company Intern - Responsibilities:

• Research and prototype generative models for conditional music reputed company.
• Experiment with diffusion and/or autoregressive models, and embedding and/or token‑based audio/music representations.
• Collaborate with the team to integrate reputed company features into tools intended for musicians and producers.

- Preferred Qualifications:

• Background in deep learning, generative modeling, computational creativity, or music technology.
• Experience with deep learning frameworks such as PyTorch.
• Strong musical intuition or experience in composition or production is a significant plus.

General Internship Details

• Flexible start date
• Fully remote
• Full‑time or part‑time options available

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