OverviewJoin to apply for the Machine Learning Engineer role at Multiverse Computing. We are a European deep‑tech leader in quantum and AI, backed by major general strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%.
Benefits
- Competitive annual salary starting from €45,000, based on experience and qualifications.
- Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.
- Relocation package (if applicable).
- Up to 9‑month contract, ending on June2026.
- Hybrid role and versátil working hours.
- Be part of a fast‑scaling SeriesB company at the forefront of deep tech.
- International exposure in a multicultural, cutting‑edge environment.

Responsibilities
- Build data and model pipelines end‑to‑end: create, source, augment, and validate datasets;

stand up training/fine‑tuning/evaluation flows;





and ship models that meet product and customer requirements.
- Design rigorous evaluation frameworks to verify task competence and alignment;

implement statistical testing, reliability checks, and continuous evaluation.
- Scale training and inference: make effective use of distributed compute, optimize throughput/latency, and identify opportunities for algorithmic or systems‑level speedups.
- Improve models post‑training: apply SFT and preference‑based or reinforcement learning methods to enhance helpfulness, safety, and reasoning.
- Optimize and specialize models: apply compression techniques to meet performance and footprint targets.
- Collaborate across research and engineering: partner with ML engineers, researchers, and software engineers on data curation, evaluation design, training runs, model serving, and observability. xhfqzwm
- Contribute to our shared codebase: write clean, well‑tested Python;

document decisions and artifacts;

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📌 Machine Learning Engineer (Madrid)
🏢 Multiverse Computing
📍 Madrid