ramblr
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, or find explanations and patterns in your videos you were not aware of.
Are you excited to become a Ramblr and join us at the intersection of AI and the physical world? If so, you can apply directly to the job posting or use the open application form.
We look forward to hearing from you !
Job Description
Your profile
– Familiarity with multisensor datasets and scientific methods for their leverage
– Knowledge of agentic systems and their inner workings. Ideally, experience in their integration and design at multiple levels
– Machine Learning (ML):
– Ability to use PyTorch or Tensorflow, basics of neural network architectures (Transformer/CNN), model training
– Knowledge of classical ML methods: Unsupervised clustering, Gradient Boosting, SVM
– General: git VCS, code reviews, development on Linux, distributed computing concepts
Education:
– B.Sc./M.Sc. in Computer Science, Physics, Mathematics, Robotics or a related quantitative field.
Why us?
- 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 AI luminaries
- Enjoy full responsibility for your tasks and your work area
- Come have fun with us, learn from your mistakes and bring good vibes!
About us
Kontaktperson:
ramblr.ai HR Team