[Remote] Machine Learning Intern (m/w/d) – Mandatory Inernship only

Note: The job is a remote job and is open to candidates in USA. LIME is a company focused on Digital Health Applications, aiming to enhance therapy time for patients through AI solutions. The Machine Learning Intern will design and implement machine learning pipelines, collaborate with product teams, and work on data extraction and processing for model development. Responsibilities Design and implement machine learning pipelines with a focus on computer vision and deep learning Identify, extract and process data from relevant data sources for model development Create tests and evaluations to assess the application performance of machine learning models Collaborate closely with our software and product teams Continuously develop yourself and think outside the box Skills You have significant experience in Python, Java, or a similar high-level programming language You have experience in one or more of the following areas: machine learning, neural networks, deep learning, computer vision, TensorFlow, PyTorch, Keras, big data management, data pipelines You have experience working with shared codebases in a professional environment You have experience in data science or working with large amounts of data You are familiar with clean coding principles and software testing You are clever and creative – you question the status quo and contribute your ideas You need to complete your Mandatory Internship for your studies with us Benefits One Team One Dream: Be part of the mission, take on responsibility, and grow with us. Best Ideas Win: Be part of an inspiring team where arguments count more than positions. Continuous Growth: Grow beyond yourself through continuous learning with courses, mentoring, and feedback. Freedom & Responsibility: Decide for yourself when, where, and how you work. In the end, results are what count. Company Overview LIME develops, produces and sells innovative rehabilitation robotics for hand therapy. It was founded in 2016, and is headquartered in Mainz, Rheinland-Pfalz, DEU, with a workforce of 11-50 employees. Its website is