Machine Learning Engineer
Professional Galaxy ABSweden5 days ago
Full-timeEngineering, Information Technology
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Professional Galaxy is looking for a Machine Learning Engineer (focused on QUAIL + MAP integration) on behalf of our client
Focus on these products:
QUAIL. Building and applying ML models for language evaluation, quality scoring, and multimodal translation workflows.
MAP (Multilingual AI Platform). It is a platform to translate content at scale using AI. MAP is designed to help efficiently localize and internationalize content for users in different languages and regions.
Core Skills :
Start Date : 2025-12-15
End Date : 2026-06-30
Application Deadline : 2025-12-13
Work Location: On-site
Please apply directly through our system with:
Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid.
Focus on these products:
QUAIL. Building and applying ML models for language evaluation, quality scoring, and multimodal translation workflows.
MAP (Multilingual AI Platform). It is a platform to translate content at scale using AI. MAP is designed to help efficiently localize and internationalize content for users in different languages and regions.
Core Skills :
- Expertise in NLP and LLMs (prompting, fine-tuning, evaluation). QUAIL depends on LLM-as-a-judge scoring frameworks.
- Experience with quality evaluation frameworks: (we have the rubrics designed, but it would be good if they have experience designing rubrics for language formatting; building evaluation APIs)
- Experience with data engineering for ML: collecting, cleaning, and structuring multilingual corpora for benchmarking.
- Comfort with MLOps: deploying models into production, monitoring drift, ensuring cost-efficiency.
- Familiarity with MT evaluation: BLEU, COMET, MQM, or newer LLM-based scoring methods.Applied work in speech and multimodal ML: transcription (STT), speech isolation, diarization, TTS, dubbing.
- Ability to design scalable evaluation pipelines: run automated evaluations at segment/file/content level across multiple languages.
- Experience with human-in-the-loop evaluation workflows (sampling, quality control).
- Knowledge of cultural/linguistic nuances in translation (since QUAIL will measure “fit for purpose” quality).
- (IF THEY HAVE WORKED WITH SPOTIFY BEFORE) Familiarity with Spotify’s AI ecosystem (AIM, GLEE, MAP phases) for cross-collaboration.
Start Date : 2025-12-15
End Date : 2026-06-30
Application Deadline : 2025-12-13
Work Location: On-site
Please apply directly through our system with:
- Your updated CV
- Availability to start the assignment
Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid.
Key Skills
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