Senior Machine Learning Engineer

Organisation / Company ARQUIMEA RESEARCH CENTER Research Field Other Researcher Profile First Stage Researcher (R1) Country Spain Application Deadline 31 Dec 2026 - 22 : 59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? NextGenerationEU Is the Job related to staff position within a Research Infrastructure? No

Offer Description

ARQUIMEA , we are a technology company operating globally and providing innovative solutions and products in highly demanding sectors.

Our areas of activity are Aerospace, Defense & Security, Big Science, Biotechnology and Fintech.

ARQUIMEA Research Center (ARC) , part of ARQUIMEA , was born in 2019 with the aim of inventing the technologies of tomorrow. An environment of innovation and excellence at European level from which senior and junior researchers from around the world develop disruptive technologies and business models that will serve as an engine of socio-economic growth in the medium and long term.

We are looking for a Senior Machine Learning Engineer todevelop, train, optimize, and benchmark scientific state-of-the-art deep learning methods for computer vision, 3D reconstruction, robotic perception, and safe autonomy use cases.

Tasks to be performed :

• Data preparation and analysis for real and synthetic training datasets.
• Collaborate with scientific researchers to design, implement, test, and benchmark deep learning methods.
• Collaborate with scientific researchers to analyze the implementation of state-of-the-art methods.
• Conduct hyperparameter tuning of the models and optimize the consumption of resources when training the models.
• Collaborate with scientific researchers to conduct experimental validation of new methods, and benchmarking with respect to state-of-the-art methods.

Required skills, experience and candidate profile :

Additionally, we will also value experience in the following areas :

Think Big, Do the Job & Enjoy Life

At ARQUIMEA, we value diversity and inclusion. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or other protected factors by law. All candidates will be considered equally based on their skills and experience

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