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)