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.
Masters 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.
*This position can be based in Tenerife Gran Canaria or Madrid.
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
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 ...
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.
Masters 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.
*This position can be based in Tenerife Gran Canaria or Madrid.
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
Somos una empresa tecnológica que opera a nivel global. Si te apasiona la tecnología y crees en su capacidad para transformar el mundo, ARQUIMEA es tu sitio. ¡Únete!