Machine Learning Engineer (Product) (Fixed-term contract) Technical · Madrid, Barcelona

Overview Machine Learning Engineer (Product) – Fixed-term contract. Location: Madrid, Barcelona. Employment type: Contract; Workplace: Hybrid; Seniority: Associate. We are looking to fill this role immediately and are reviewing applications daily. Expect a fast, transparent process with quick feedback. Why join us? We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible, and being part of a company often described as a quantum-AI unicorn in the making. About Multiverse Computing: Founded in 2019, we are a well-funded, fast-growing deep-tech company with a team of 180 employees worldwide. Recognized by CB Insights (2023 & 2025) as one of the Top 100 most promising AI companies globally, we are also the largest quantum software company in the EU. Equal opportunity: Multiverse Computing is committed to building an inclusive workplace and welcomes people from diverse backgrounds to apply. 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. Contribute to our shared codebase: write clean, well‑tested Python; document decisions and artifacts; uphold engineering standards. Required Qualifications Bachelor’s degree in Computer Science, Math, Physics, Data Science, Operations Research, or related field. Strong programming skills in Python and the modern ML stack (e.g., PyTorch), plus fluency with data tooling (NumPy/Pandas) and basic software practices (git, unit tests, CI). Solid grounding in language modelling concepts around training, evaluation, model architecture, and data. Experience working with datasets at scale: collection, cleaning, filtering, labeling/annotation strategies, and quality controls. Experience using GPU resources and familiarity with containerized workflows (e.g., Docker) and job schedulers or cloud orchestration. Ability to read research papers, prototype ideas quickly, and turn them into reproducible, production‑ready code. Clear, pragmatic communication and a collaborative mindset. Preferred Qualifications PhD in Computer Science, Math, Physics, Data Science, Operations Research, or related field, or equivalent industry experience with demonstrated experience in NLP or LLMs. Experience building foundational LLMs from the ground up. Other focus areas: Model Evaluation, Distributed Training, Model Compression, Post‑Training alignment techniques (SFT and RL methods), with relevant experience as described in the job listing. About Multiverse Computing We are a well-funded, fast-growing deep-tech company with a global presence. Our flagship products address critical industry needs: CompactifAI (AI model compression) and Singularity (quantum‑inspired optimization). Equal Opportunity As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace and welcomes people from all backgrounds to apply. J-18808-Ljbffr

Location: Madrid, Comunidad de Madrid, ES

Posted Date: 11/17/2025