R&D Machine Learning Expert (m/f)

Description de l'offre

R&D Machine Learning Expert (m/f)

Airbus Defence and Space Toulouse (ex Astrium SV Spotimage)

Airbus is a global leader in aeronautics, space and related services. In 2017, it generated revenues of € 67 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners from 100 to more than 600 seats. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as Europe's number one space enterprise and the world's second largest space business. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide.

Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary - on the ground, in the sky and in space.

Description of the job

A vacancy for an R&D Machine Learning Expert (m/f) has arisen within Airbus Defence & Space in Toulouse. You will join the Airbus DS Intelligence department.

Airbus DS Intelligence opens a machine learning position within the Toulouse R&D team. This expert must be specialized in Deep Learning and in particular in convolutional neural networks (CNNs) applied to satellite images.

You will integrate the Deep Learning / Big data division within the R&D team, which includes around ten people and will interact with the cloud R&D environment called OneAtlas Playground. This environment makes it possible to develop Deep Learning models, manage datasets necessary for tagging, launch active learning loops, and execute large scale processing on all the images available in the platform OneAtlas.

For France:
This position will require a security clearance or will require being eligible for clearance by the recognized authorities.

Profil recherché

Tasks & accountabilities

You will be responsible for:

·  Carrying out research work to propose new approaches and methodologies to bring out new uses of satellite images. To carry out his work
·  Working in close proximity with the operational teams who develop new services, and with the Sales & Marketing teams who design the new services based on market or customer needs.
·  Participating to the evolution of the OneAtlas / Playgroung R&D platform
·  Knowing how to look for information and remain at the state of the art in a highly evolving machine learning landscape.
·  Taking in charge researches themes, to discuss the objectives with the different actors, and to bring it to an end in coherence with the operational imperatives of the company.

This role could involve occasional travel for business and as such you must be able to travel accordingly.

Required skills

You will have the following skills and experience:

·  A scientific academic background (applied mathematics, physics, remote sensing) with a university degree or engineer
·  At least 1 year of experience in the field of Deep Learning and be familiar with Deep Learning environments (Python, Jupyter, OpenCV, GitLab, Keras, TensorFlow) as well as with the Google Cloud Platform (Compute, AppEngine, Docker, CloudML).
·  Knowledge in image processing
·  Remote sensing, mathematical modeling, statistics and development (DevOps) are highly desirable
·  Good communication skills in order to interact with support teams and internal or external clients / partners.
·  A strong customer orientation with good listening skills and the search for innovative solutions is an important aspect of the job.

A negotiation level of English is required.