Company Overview:
At RESONIKS, we're blending acoustics with artificial intelligence to revolutionize quality control in metal manufacturing. As we embark on our scaling journey, we're inviting a creative and skilled Sales Intern to join our team and contribute to a sustainable and quality-driven future.
The Role:
We are seeking a dynamic intern with a flair for Machine Learning to help us improve our pipeline for analyzing collected data for model training. If you're a master's student excited about AI and have some experience with Python and PyTorch, this opportunity is perfect for you!
This Internship Is For You, If You:
Want to be a part of an innovative team at the intersection of AI and manufacturing.
Have the desire to work on real-world machine learning applications.
Want to contribute to cutting-edge technology that makes a difference.
Responsibilities:
Develop a pipeline to analyze, select, and visualize high-quality data from sensor collected data for model training.
Use your skills in Python and PyTorch for pipeline development and model training.
Collaborate in a fast-paced environment and contribute fresh ideas.
Qualifications:
Currently pursuing a Master's degree in a related field (e.g., Computer Science, Engineering).
Basic knowledge of Python and PyTorch.
Interested in working with acoustic and audio data
Interest in AI, machine learning, and data quality.
Good problem-solving and communication skills.
Working at RESONIKS:
Immerse yourself in a pioneering company at a pivotal stage of growth
Address cutting-edge AI challenges in a vibrant, innovative environment.
Receive a competitive internship compensation and a personal development budget.
Embrace our culture of diversity, inclusivity, and open dialogue.
Enjoy regular team events celebrating our shared success.
Ready to kick-start your career in the world of quality and sustainability in manufacturing? Apply now by sending your CV and a concise motivation letter to careers@resoniks.com. Let’s resonate with the future of quality and sustainability together.