Machine Learning/AI Engineer

ramblr
Pullach im Isartal, Germany
2 days ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Artificial Intelligence Artificial Neural Networks Computer Vision C++ (Programming Language) Cloud Computing Software Code Optimization Code Review Collaborative Software Nvidia CUDA Extract Transform Load (ETL) Data Visualization Software Design Patterns
+18 more
Linux Distributed Systems Python (Programming Language) Machine Learning Language Modeling NumPy OpenCV Pytorch Evaluation Pipelines Prompt Engineering Agentic-AI Git Integration Tests Information Technology ONNX (Open Neural Network Exchange) Format Transformer Architectures Machine Learning Operations Software Coding

Job description

We are looking for a strong Machine Learning/AI Engineer to deploy and maintain state-of-the-art models and embed them in production systems that combine vision-language models, computer vision, and agentic components. You write clean, efficient, and highly parallelized code to improve and extend our physical AI stack, and you help make building and deploying new features on Ramblr One faster and more reliable.

Drawing on your understanding of modern deep neural networks and agentic systems, you take responsibility for the performance and reliability of our platform. You build and optimize parts of our AI stack and integrate them efficiently into our products.

Requirements

Passion for solving the hard problems in physical and visual AI.

Required:

  • Full proficiency in Python-based collaborative software engineering: consistent style guide, clean design patterns, self-documenting code, unit and integration tests, type annotations
  • Vision-language and multimodal foundation models: production use beyond prompt engineering, including fine-tuning, evaluation, and integration into multi-component agentic systems
  • Machine learning: data loading pipelines, serving and deployment, relevant neural network architectures, model optimization, PyTorch
  • Scientific Python libraries such as NumPy and OpenCV
  • General: Git, code reviews, development on Linux, distributed computing concepts
  • A good mix of strong fundamental coding skills and effective use of modern coding assistants

Optional:

  • Computer vision: Spatio-temporal data, image and video embeddings, augmentation techniques
  • NLP: Transformer architectures, vision-language alignment, prompt and instruction design
  • MLOps: automated model monitoring, evaluation pipelines, observability
  • Acceleration in Python: Numba, C++/CUDA extensions, Cython, PyTorch C++/CUDA extensions, ONNX, TPUs
  • General: cloud technologies, Ray, data visualization, MCP-based integrations

Education and experience:

  • M.Sc. or Ph.D. in computer science, physics, mathematics, or a related field, with a focus on computer vision or machine learning
  • 3+ years of relevant work or internship experience
  • Fluent in English

About the company

AI for the Physical World.

At Ramblr, we build vision AI agents that understand work as it happens. Grounded in a company’s knowledge, processes, and operational context, our agents recognize real-world situations from egocentric video and other signals, guide operators through complex tasks, verify quality and compliance, and support service and maintenance teams at the point of work.

Ramblr One, our developer platform for physical AI agents, is the foundation for all of this: a data engine that structures video, images, manuals, and expert knowledge into activities, relations, and skills, plus an agent studio to build, evaluate, deploy, and monitor agents on our or the customer’s infrastructure, with no model lock-in. Our customers range from industrial leaders to robotics teams closing the gap between data and physical AI., Why us?

  • Join a highly motivated team of super smart people in a well-funded, early-stage startup
  • Take part in an incredible journey and participate in our equity incentive plan
  • Work in an international team of experienced entrepreneurs and AI 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
  • Have fun with us, learn from your mistakes, and bring good vibes!, Founded by experienced tech entrepreneurs and deep-learning scientists with proven track records, we have embarked on a mission to bring AI to the physical world and unlock next-gen intelligent AR/XR devices.

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