Senior Computer Vision Engineer
Role overview
We are looking for the person who takes those models further. It is a multiple-instance detection problem on handwritten input, solved directly on the pen strokes rather than on a rendered image — a formulation with no off-the-shelf solution to copy and no public benchmark that stands in for the real thing. The work is genuine research engineering: understand where the model falls short, form a hypothesis about why, build it, and find out honestly whether it worked.
Responsibilities
- check_circle Own the models
- check_circle Make the gains real ones
- check_circle Get it into classrooms
- check_circle Choose what is worth building next
Basic qualifications
- Real depth in multiple-instance detection or instance segmentation.
- Experience with non-rasterized input, or a clear grasp of what changes without a pixel grid.
- Attention-based architectures over sets and graphs, and a feel for how spatial and relational structure gets encoded into a model.
- Serious experience training deep models in PyTorch.
- The experimental discipline to run fair comparisons, resist reading noise as signal, and say plainly when a result is inside the band.
- Evidence you can take a model into production.
- The ability to read the literature critically: reproduce what is useful, and tell a genuine advance apart from a benchmark artifact.
Preferred qualifications
- Online handwriting, sketch, ink or diagram recognition, in any script or notation.
- Geometric deep learning, or graph neural networks applied to spatial data.
- Vector graphics, CAD, GIS or trajectory modelling in an industrial setting.
- Inference optimization and quantization.
- Published or open-sourced work we can read.
- Spanish or Catalan.
About the company
Innovamat is an educational organization focused on mathematics learning. Our mission is to improve the way the subject is taught, by offering resources, training and research to the educational community. Since we were founded in Barcelona in 2017, we have partnered with more than 27,000 teachers in over 2,800 schools across nine countries, reaching more than 600,000 students.
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About Innovamat
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