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Senior Llm Engineer - Quantum Ai Innovator

Multiversecomputing
Madrid, Spain
about 1 month ago
Apply on www.buscojobs.com.es
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
2 years minimum
Working hours
Regular working hours
Languages
English
Job source
www.buscojobs.com.es

Tech stack

Artificial Intelligence Python (Programming Language) Language Modeling Pytorch Large Language Models HuggingFace

Job description

Multiverse Computing seeks an experienced LLM Engineer (Senior and Mid level) to join our team in Spain.You will design, implement, and optimize language models, integrating them into our quantum-enabled products in a collaborative, fast-paced environment.Ideal candidates have 2+ years in transformer models (mid) or 5+ years (senior), strong Python, PyTorch, and HuggingFace skills, and fluency in English.A hybrid work setup in Donostia/San Sebastián is available.#J-*****-Ljbffr

Requirements

You will design, implement, and optimize language models, integrating them into our quantum-enabled products in a collaborative, fast-paced environment. Ideal candidates have 2+ years in transformer models (mid) or 5+ years (senior), strong Python, PyTorch, and HuggingFace skills, and fluency in English. A hybrid work setup in Donostia/San Sebastián is available. #J-*****-Ljbffr

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:00 min

Leveraging large quantitative models for intermediate quantum advantage

Yuval Dvir Yuval Dvir +1 · World Congress 2026 Europe

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

1:32 min

Predicting missing words using specialized language models

David vonThenen David vonThenen · World Congress 2026 Europe

1:45 min

Introduction to serving large language models locally

Patrick Koss Patrick Koss · World Congress 2025

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

2:25 min

Training contextual language models through masked word prediction

Tanmay Bakshi · LIVE

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World Congress 2024 • about 2 years ago

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Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding) thumbnail
29:32
World Congress 2026 Europe • 3 months ago

Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)

Christoph Lohrmann, Utz Bacher

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31:25
World Congress 2025 • about 1 year ago

Unveiling the Magic: Scaling Large Language Models to Serve Millions

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World Congress 2026 Europe • 3 months ago

Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated

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39:02
LIVE • over 5 years ago

Serverless deployment of (large) NLP models

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Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j

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