M

Machine Learning Engineer

Multiverse Computing • Spain
Visa Sponsorship Relocation
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AI Summary

Build and maintain training, data, and evaluation pipelines for transformer/LLM models at a quantum/AI deep-tech company. Develop scalable ML systems including multi-node training, RL environments, and deployment optimization. Requires 2+ years industry experience, strong Python/PyTorch, and hands-on distributed transformer training.

Key Highlights
Build and maintain multi-node training and post-training pipelines (SFT, distillation, RL).
Build scalable data pipelines for curation, filtering, deduplication, tokenization, and synthetic data generation.
Build and maintain evaluation pipelines for reproducible benchmark results.
Profile and optimize training/inference and package models for deployment including edge hardware.
Requires 2+ years industry ML experience with 1+ year hands-on transformer/LLM work.
Key Responsibilities
Build and maintain the training stack: multi-node training and post-training pipelines (SFT, distillation, RL).
Build scalable data pipelines for curation, filtering, deduplication, tokenization and synthetic data generation.
Build and maintain evaluation pipelines for reproducible benchmark results.
Build RL environments, verifiers and reward pipelines for reasoning, coding and agentic tasks.
Profile and optimise training and inference: GPU utilisation, memory, parallelism, checkpointing, I/O.
Package, optimise and benchmark models for deployment, including non-NVIDIA and edge hardware.
Turn research ideas into clean, tested, reusable code and run experiments with the research team.
Keep work reproducible through containers, configs, experiment tracking, CI, code review and documentation.

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Technical Skills Required
Python PyTorch Distributed Training
Benefits & Perks
Indefinite contract
Equal pay guaranteed
Variable performance bonus
Signing bonus
Work visa sponsorship
Relocation package
Private health insurance
Educational budget
Hybrid opportunity
Flexible working hours
Language classes
Discounted lunch options
Career plan

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Nice to Have
Experience with NVIDIA stack: Megatron-LM, Megatron Bridge, NeMo RL, NeMo Gym, NeMo Curator.
Hands-on post-training: SFT, DPO, or RL (GRPO, PPO), or frameworks such as verl, TRL or OpenRLHF.
Inference engines (vLLM, SGLang, TensorRT-LLM).
Deployment on edge or alternative hardware.
Model compression: quantization, pruning, distillation.
GPU performance work: profiling, Triton or CUDA kernels.
Evaluation tooling: lm-evaluation-harness, lighteval, NeMo Evaluator.
Experiment tracking and MLOps, cloud platforms (ideally AWS).
Physical AI tooling: robotics simulation or vision-language-action models.
Spanish.

Job Description

Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 300+ employees worldwide and growing, delivering advanced solutions trusted by leading global enterprises across several critical industries, including finance, energy, manufacturing, telecom, and industrial sectors.

Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.

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Job Overview
Posted Nov 06, 2026
Employment Full-time
Experience Mid-Senior level
Location Spain
Category Machine Learning
Company Multiverse Computing
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