ML Engineer

What we're looking for • Python and ML engineering skills across the full model development lifecycle: data pipelines, training, evaluation, and deployment • Experience with encoder architectures, autoregressive models, or selfsupervised pre-training approaches (e.g. Masked Autoencoders) • Familiarity with CoreML, MLX, or comparable inference frameworks • Comfortable working from data pipeline to model serving to a lightweight frontend • C or C++ experience is a plus for inference porting work • Experience with curriculum learning or training-data scheduling strategies is a plus Example of work tasks • Improve encoder models: increase model capacity and input resolution. • Build multi-classification support for a range of map-feature attributes — end-to-end: data pipeline, model training, and evaluation • Port a large-scale inference pipeline to C, build a CLI and frontend for job management, and create a plugin interface for viewing results • Port CoreML inference to MLX, enabling cross-OS model execution • Train a confidence and ranking model on top of existing autoregressive model outputs • Implement curriculum training: rank tasks by difficulty and automate progressive scheduling of training data These skills are important as it is a short term assignment & it is crucial to quick come up to speed and be open to changes in work tasks during these months: * Learning agility — Willing to pick up new technology, work with legacy code, and adapt quickly * Communication — Easy to talk to, take feedback without defensiveness. * Problem-solving clarity — Explain their thinking, ask clarifying questions * Hands-on experience using Claude Code or similar GenAI tool in day-to-day work. Start date: ASAP End date: 30th of September Location: Malmö (onsite work)