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Senior Machine Learning Engineer
hace 3 semanas
ARQUIMEA
, we are a
technology company
operating globally and providing innovate 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
Machine Learning Research Engineer
:
The ideal candidate will bring deep expertise in state-of-the-art deep learning methods applied to computer vision, 3D reconstruction, robotic perception, and safe autonomy. The candidate should be comfortable working with both real and synthetic datasets, and collaborating closely with scientific researchers to push the boundaries of AI-enabled robotics.
Tasks to be performed:
- Develop, train, optimize, and benchmark scientific state-of-the-art deep learning methods for computer vision, 3D reconstruction, robotic perception, and safe autonomy use cases.
- 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 develop production-grade 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:
- Degree in Engineering or another relevant field.
- Master's degree in Engineering or a related discipline.
- Strong Python programming skills, with experience in ML frameworks such as PyTorch.
- Deep understanding of machine learning fundamentals, deep neural network (DNN) architectures, and experience with supervised and self-supervised learning.
- Experience with version control (Git) and containerization (Docker).
- Experience in rapid prototyping and deployment of DNN models for computer vision tasks.
- At least 3 years of experience in ML engineering, including model development, training, optimization, deployment, and evaluation.
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
