# ML Researcher

**Company:** [Fundamental Research Labs](https://hotfix.jobs/companies/fundamental-research-labs)
**Location:** Barcelona, Spain
**Role:** AI Research
**Skills:** Python, Machine Learning, Deep Learning, Machine Learning Frameworks, Ai Model Development, Distributed Training, Gpus, Tpus, Classical Machine Learning, Model Compression, LLMs, Tabular Data, Predictive Analytics, Kaggle
**Posted:** 2025-10-30

> Researches, develops, evaluates, and optimizes machine learning models across the full research lifecycle, with a focus on novel methods, scalable training, and efficient inference. Requires strong Python, software engineering, machine learning fundamentals, and experience with GPUs or TPUs and distributed training.

## Job Description

## Responsibilities
- Contribute to ideation, design, implementation, and evaluation of breakthrough machine learning models for real-world deployment.
- Work across the full lifecycle of machine learning models, including performance optimization, evaluation protocol development, and efficient training and inference.
- Develop novel architectures, training methods, algorithms, and models.
- Help ensure research code supports rapid development and testing of new ideas.

## Requirements
- Strong familiarity with the full machine learning research cycle.
- Strong software engineering fundamentals.
- Strong knowledge of Python and machine learning frameworks.
- Experience with the full lifecycle of AI model development.
- Experience with machine learning infrastructure frameworks and tools.
- Experience developing new machine learning methods, algorithms, and models.
- Experience with GPUs or TPUs and distributed training.
- Experience scaling models and training regimes.
- Knowledge of classical machine learning methods and algorithms.
- Knowledge of deep learning techniques.

## Nice to Have
- Expertise in architecture research, distillation/model compression, evaluation, code generation, or large language models.
- Experience with foundational models, such as LLMs.
- Published research at AI conferences.
- Contributions to open-source machine learning projects.
- Experience working with tabular data or predictive analytics.
- High Kaggle rank.
- BSc, MSc, or PhD in computer science or machine learning.

## Compensation and Benefits
- Competitive compensation with salary and equity.
- Comprehensive health coverage for employees and dependents.
- Paid parental leave for all new parents, including adoptive and surrogate journeys.
- Relocation support for employees moving to an office location.
- Mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action.

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