Deep Learning Expert

Permanent employee, Full-time · Munich / San Francisco / Dresden / Remote


We are building an AI-driven data pipeline to unlock next-gen Augmented Reality. In pursuit of this mission, we are leveraging cutting-edge computer vision and deep learning. We are continually searching for new ramblrs for our offices in San Francisco and Munich or even remotely based. Are you excited to become a ramblr and join us at the intersection of AI and AR? If so, you can apply to the job posting directly or use the open application form.
We look forward to hearing from you !
Job Description
We are looking for a strong deep learning expert, who can develop, deploy and maintain state-ot-the-art AI models. You work closely at the intersection of research and product development. You are a key player building a new product from scratch - field testing and iterating quickly. By applying your understanding of classical computer vision and state-of-the-art deep neural networks you are responsible for the performance of ramblr’s models.
Your profile
  • Passion for solving the hard problems in deep learning
  • Required:
    • Machine Learning (ML): PyTorch or TensorFlow, neural network architectures (especially Transformer / CNNs) training/optimization, model analysis, data loading pipelines
    • Computer Vision (CV): CNNs, spatio-temporal data, segmentation, boundary detection, image augmentation
    • Full proficiency in python-based collaborative software engineering: follow consistent style-guide, clean design patterns, self-documented code, unit/integration tests, type annotations
    • Experience with scientific python libraries such as: numpy, matplotlib, scipy, scikit-learn, scikit-optimize, pandas, seaborn
    • General: git VCS, code reviews, development on Linux, distributed computing concepts
  • Optional:
    • Acceleration in python: numba, c++/CUDA extensions, cython, PyTorch c++/CUDA extensions, ONNX, TPUs
    • ML: hyperparameter search, (approximate) nearest neighbor search, variational autoencoders, weakly supervised methods, serving/deployment, data monitoring (training/eval/serving-skew), TensorflowTransform, Graphical Models, Bayesian Optimization
    • CV: image embeddings, GANs, image morphology, optical flow, depth/3D reconstruction
    • General: Cloud Technologies, SQL, Apache Beam, Apache Spark, Ray, data visualization
  • Education
    • B.Sc./M.Sc./Ph.D. in computer science, physics or mathematics with focus on computer vision, machine learning or a related field
    • 3+ years of relevant work experience
Why us?
  • Join a highly motivated team with super smart people in a well-funded, early-stage startup
  • Take part in an incredible journey and participate in our equity incentive plan 
  • Become part of an international team of experienced entrepreneurs and deep-learning experts
  • Play a decisive role in shaping a company with a creative working environment and streamlined decision-making
  • 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
Founded by experienced tech entrepreneurs and deep-learning scientists with proven track records, we have embarked on a mission to fuel the metaverse by building an AI-driven data pipeline to unlock next-gen Augmented Reality.
We are looking forward to hearing from you!
Thank you for your interest in ramblr. Please provide the following information and we will get back to you as soon as possible. If you experience difficulties with the upload of your data, please don't hesitate to reach out to

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