Experteer Overview As a Machine Learning Engineer at Multiverse Computing, you will build and optimize the training and data pipelines powering research-scale models. You will enable scalable, reproducible experiments across multi-node setups and deploy models for diverse hardware, including edge devices. You’ll work closely with researchers to turn new ideas into robust, reusable code and maintain end-to-end reproducibility. This role combines hands-on engineering with the mission to advance quantum-enabled AI for integral clients.Compensaciones / Beneficios
- Build and maintain the training stack for multi-node training, post-training pipelines, and RL workflows (SFT, distillation)
- Create scalable data pipelines for curation, filtering, deduplication, tokenization and synthetic data generation
- Develop evaluation pipelines to ensure reproducible benchmarking across models and checkpoints
- Construct RL environments, verifiers and reward pipelines for reasoning, coding and agentic tasks, ensuring fast rollouts
- Profile and optimize training/inference for GPU utilization, memory, parallelism, checkpointing and I/O
- Package, optimize and benchmark models for deployment on NVIDIA and non-NVIDIA hardware, including edge devices
- Translate research ideas into clean, tested,



reusable code and run experiments with the research team
- Ensure reproducibility through containers, configs, experiment tracking, CI, code review and documentationResponsabilidades
- Master's in Computer Science, AI, Mathematics, Physics, Engineering or related field, or equivalent industry experience
- 2+ years in ML systems, with at least 1 year hands-on with transformer models or LLMs
- Strong Python software engineering: clean, tested code; git, code review, unit/integration tests, CI
- Strong PyTorch experience training or fine-tuning transformer models
- Experience running multi-GPU jobs and distributed training (data/tensor/pipeline parallelism; FSDP or DeepSpeed)
- Comfort with Linux, containers (Docker or similar) and shared GPU clusters (Slurm or Kubernetes)
- Experience building data pipelines for large datasets
- Solid ML fundamentals and ability to reason about training internals, not just launches
- Good debugging and communication skills
- Fluent EnglishRequisitos principales
- Indefinite contract
- Equal pay guaranteed
- Variable performance bonus
- Signing bonus
- Hybrid opportunity
- Private health insurance

📌 Machine Learning Engineer (Mid-Level) (Barcelona)
🏢 Multiverse Computing
📍 Barcelona