Intern Data Science/Deep Learning

Actionable Insights with Industrial-Grade Video Understanding

AI for the Physical World. At Ramblr, we go beyond superficial video analysis to extract deep context from egocentric videos. Our technology provides a comprehensive understanding of actions, individual objects, and their relationships. Prompt Ramblr’s AI assistant to unlock precise insights and pinpoint specific moments in thousands of hours of multimodal videos captured from a first-person perspective. Are you excited to become a Ramblr and join us at the intersection of AI and spatial computing? If so, you can apply directly to the job posting or use the open application form.

We look forward to hearing from you !We are looking for an Intern/Working Student with strong background in Python and Machine Learning, who can develop, deploy and maintain state-of-the-art models. You will support us throughout the whole ML-lifecycle from understanding data over building ML models to deploying models and monitoring results.Your Profile:
- Profound knowledge in collaborative software development in Python: Follow consistent style-guide, clean design-patterns, write self-documented code
- Experience with scientific Python libraries such as: numpy, matplotlib, scipy, scikit-learn, scikit-optimize, pandas, seaborn
- Proven ability to extract knowledge and understanding from data
- Machine Learning (ML):
  - Ability to use PyTorch or Tensorflow, basic of neural network architectures (Transformer/CNN), model training
  - Classical ML algorithms: Unsupervised clustering, Gradient Boosting, SVM, ...
- General: git VCS, code reviews, development on Linux, distributed computing concepts

Education:
- B.Sc./M.Sc. in Computer Science, Data Science, Physics, Mathematics or a related quantitative field.

• Join a highly motivated team with super smart people in a well-funded, early-stage startup
• Take part in an incredible journey with very competitive salary
• Become part of an international crew of experienced entrepreneurs and deep-learning luminaries
• Enjoy full responsibility for your tasks and your work area
• Come have fun with us, learn from your mistakes and bring good vibes!