ABOUT THE ROLE
Computer Vision/Machine Learning Engineer (Python, C++ or Rust)
We are looking for junior or senior experienced engineers that have experience working with CV/ML experience with models and writing scripts/software that runs on Linux systems. This position will be working on our client application. You will be working closely with GStreamer, NVIDIA DeepStream, and 3rd party models. You will be doing some model development and model optimization currently with future plans for expansion.
Responsibilities include:
Develop Python modules for CV related tasks;Perform the comparison and benchmarking of different ML models;Preparation of datasets for training models;Test the integration of new models on Lumeo platform;Ideally, you have a solid background in CV/ML.Our software stack is mostly Rust, with TypeScript/React for the front-end. Since our product runs on both the edge and the cloud, our software spans both backend SaaS as well as client software running on 100s of thousands of edge AI processing devices. Our developers get a great opportunity to work on a truly full-stack system and cutting-edge technologies and development techniques.
WHAT WE ARE LOOKING FOR
The TL;DR:
Applied experience in Computer Vision / Machine Learning;Education in Computer Science, Informatics or similar;SW development skills (Python & C++);Knowledge in conversions between different model formats: ONNX, Tensorflow, Pytorch;Strong understanding of using LLMs for accelerating software development, automating dev tasksExperience with MCP would be bonus and highly leveragedFamiliarity with Linux and experienceInterest in Rust is a Plus.Self-starter thrives in a team environment with a flat management structureVery good written and oral communication skills in English are a must as most communication is via Slack, Github, and video conf meetings.❤️ YOU’LL BE A GREAT MATCH IF…
Software discipline, get it done and learning new things! Lumeo is integrating cutting edge Vision Technologies and solving tough business problems.Remote, but be based anywhere in the world such as the Americas, EU/Asia (working preference to US/EU timezones)
