Senior Machine Learning Engineer

ARQUIMEA; Las Palmas de Gran Canaria; Presencial; EUR 50.000 - 90.000; Jornada completa

Descripción de la vacante

An innovative technology company is seeking a Senior Machine Learning Engineer to develop and optimize cutting-edge deep learning methods for various applications, including computer vision and robotic perception. Join a dynamic team at the forefront of technological advancement, where your expertise will contribute to groundbreaking research and development projects. This role offers the opportunity to work with talented professionals in a collaborative environment, driving socio-economic growth through disruptive technologies. If you are passionate about machine learning and eager to make a significant impact, this is the perfect opportunity for you.

Formación

• Master’s degree in engineering or a relevant field required.
• Strong Python programming skills and experience with ML frameworks.

Responsabilidades

• Data preparation and analysis for training datasets.
• Collaborate with researchers to design and benchmark deep learning methods.

Conocimientos

Python

Machine Learning

Deep Neural Networks

PyTorch

Git

Docker

Educación

Master's degree in Engineering

PhD in Computer Science or related field

Descripción del empleo

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 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 :

• Master’s degree in engineering or another relevant field.
• Strong Python programming skills, with experience in machine learning (ML) frameworks like PyTorch.
• Deep understanding of ML, especially deep neural network (DNN) architectures and experience with supervised and self-supervised learning.
• Experience with version control with Git and containerization with Docker.
• Experience with fast prototyping and deployment of DNN models for computer vision tasks.

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

• Experience with radiance fields techniques such as Neural Radiance Fields (NERF) and 3D Gaussian Splatting (3DGS).
• Experience leading teams of up to four people in R&D and innovation projects.
• PhD in computer science, AI, ML, and / or Robotics.

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