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emagine

ML Engineer

emagine
Sweden · Full-time · Not Applicable

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)

Key Skills

Ranked by relevance

c python
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Posted
Jun 16, 2026
Type
Full-time
Level
Not Applicable
Location
Greater Malmö Metropolitan Area
Company
emagine

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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