ML Platform Engineer

Permanent employee, Full-time · MUC


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 ML Platform Engineer who can develop and maintain our internal ML platform. You will design and implement key components to train and serve state of the art machine learning models. You will be part of our experienced team of AI engineers and work closely with our cloud infrastructure team to ensure performant and clean code.
Your profile
  • Passion for fast, robust, readable and overall clean code
  • Full proficiency in python-based collaborative software engineering: follow consistent style-guide, clean design patterns, self-documented code, unit/integration tests, type annotations
  • General: git VCS, code reviews, development on Linux, distributed computing concepts
  • Writing and optimizing code for distributed computing (Ray, Apache Beam, Apache Spark...)
  • Experience in a variety of software architectures and design patterns
  • Familiarity with the ML lifecycle:
    • Data ingestion
    • Serving and deploying (Deep) machine learning models for real-time and batch applications
    • Load balancing, scaling and combining model deployments and heuristics
    • Continuous monitoring of model outputs and results
  • Knowlege of Deep Learning Framework (Pytorch, Tensorflow) and their utilization to build and train ML models
  • Computer Vision (CV): CNNs, spatio-temporal data, segmentation, object detection, image augmentation
  • Experience with scientific python libraries such as: numpy, matplotlib, scipy, scikit-learn, scikit-optimize, pandas, seaborn
  • Acceleration in python: numba, c++/CUDA extensions, cython, PyTorch c++/CUDA extensions, ONNX, TPUs
  • General: Cloud Technologies, SQL, Apache Beam, Apache Spark, Ray, data visualization
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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