
Machine Learning Intern – Mandatory Internship
LIME
internship
Posted on:
Location Type: Remote
Location: Germany
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Job Level
Tech Stack
About the role
- Join our mission and enable patients to receive 10X more therapy time through our AI therapist, who guides patients through their training plans and monitors their exercises:
- 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.
Requirements
- 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
- Freedom & Responsibility: Decide for yourself when, where, and how you work.
- Continuous Growth: Grow beyond yourself through continuous learning with courses, mentoring, and feedback.
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonJavamachine learningneural networksdeep learningcomputer visionTensorFlowPyTorchKerasdata pipelines
Soft Skills
creativityproblem-solvingcollaborationcommunicationcritical thinking