ML & Deep Learning Research Intern (Images, Audio, NLP)

Shure Incorporated; Niles (IL); On-site; USD 140,000 - 200,000; Full time

Job summary

Jobtailor in the United States (Illinois, Niles) seeks a highly skilled ML/AI specialist to prototype and deploy advanced models. You will work with data scientists and engineers to design architectures, train neural networks, and adapt solutions for diverse platform environments.

Ideal candidates are in PhD or advanced Masters programs, with deep experience in ML applications across images, video, audio, and NLP. Strong communication and a self-driven approach are essential.

Qualifications

• PhD or advanced degree in ML or related field is required or in-process.
• Deep learning applied to images/video, audio, NLP or DSP is essential.
• Proven experience with popular ML frameworks and libraries.
• Self-starter capable of rapid prototyping and data-driven research.
• Understanding ML-Ops patterns is a plus.
• Full stack development experience is a plus.
• Excellent written and verbal communication.

Responsibilities

• Prototype and implement ML/AI use cases with data science and engineering teams.
• Collect and create data to drive research and model improvements.
• Design architectures, train and evaluate deep neural networks and other AI algorithms.
• Adapt models for deployment across various platform environments.

Skills

PhD/Master in ML

Deep learning

ML tools & libraries

ML-Ops

Full stack development

Data prototyping

Neural network design

Data collection

Digital signal processing

Strong communication

Education

PhD or Advanced Masters in ML

Tools

ML tools and libraries

Job description

Jobtailor in the United States (Illinois, Niles) seeks a highly skilled ML/AI specialist to prototype and deploy advanced models. You will work with data scientists and engineers to design architectures, train neural networks, and adapt solutions for diverse platform environments.

Ideal candidates are in PhD or advanced Masters programs, with deep experience in ML applications across images, video, audio, and NLP. Strong communication and a self-driven approach are essential.