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Senior Software Engineer Machine Learning (M/F/D)

Cubert GmbH
Ulm

Direkt bewerben

Details zur Stelle

Festanstellung | Vollzeit
vor 1 Tag

Qualifikationen

Englisch

Vollständige Stellenbeschreibung

We aim to continuously expand our software ecosystem with state-of-the-art machine learning capabilities and modern AI-assisted development workflows. We are looking for a Senior Software Engineer Machine Learning who combines strong expertise in deep learning and machine vision with a hands-on mindset for exploring and applying the rapidly evolving landscape of AI tools.

A major focus of your role will be to integrate, adapt, train and deploy state-of-the-art deep learning models for machine vision on hyperspectral data. You will work on real-world segmentation, classification and regression problems, develop suitable datasets and turn experimental approaches into robust solutions for our customers.

At the same time, you will actively explore and use AI-assisted development workflows to accelerate software development, data analysis, experimentation and deployment. You will help us identify where modern AI tools, coding agents and automated workflows can improve development processes and contribute to making these capabilities accessible and reusable within the team, as well as for our customers.

Working on specific problems that real customers are facing right now will help us showcase the powerful combination of hyperspectral snapshot cameras, machine learning and modern AI workflows. Your solutions will contribute to our software ecosystem, including our publicly available framework cuvis.ai, and will be used by customers from research, defense, medical and industry around the world.

What you will do

Create, adapt, train and deploy state-of-the-art deep neural networks for machine vision to tackle complex real-world customer problems such as segmentation, classification and regression on hyperspectral data.
Define, acquire and create datasets for machine learning applications, including data preprocessing, annotation strategies, augmentation and evaluation.
Contribute to the architecture and continuous development of our deep learning framework cuvis.ai, bringing new models, workflows and capabilities from prototype to production.
Develop and use AI-assisted workflows for software development, data analysis, experimentation, model development and other engineering tasks.
Define and create strategies for real-world deployment of machine learning solutions at customer sites and within customer applications.
Design and carry out feasibility studies involving deep learning, hyperspectral imaging and AI-assisted approaches.
Work closely with software engineers, application engineers and domain experts to turn customer requirements and experimental results into robust technical solutions.
Stay up to date with the rapidly evolving fields of machine learning and AI tooling, evaluate relevant developments and transfer promising approaches into practical use.
Help us communicate the benefits of Deep Learning, Hyperspectral Imaging and modern AI technologies by attending conferences, giving technical presentations and contributing to scientific publications.

Qualifications

Strong proficiency in Machine Learning techniques and algorithms for machine vision applications
Hands-on experience in developing and deploying machine learning models from early stage to production
Prior experience in real-world machine learning projects, from data preprocessing to model evaluation
Proficiency in Python and familiarity with relevant libraries (e.g. PyTorch, OpenCV)
Experience building internal developer tools, automation or AI-assisted engineering workflows
Ability and motivation to continuously evaluate new AI technologies and translate them into practical engineering solutions
Excellent communication skills
Passion for our mission and excitement about revolutionizing our industry with AI

Bonus points

Fluency in German
Worked with hyperspectral data before
Located in southern Germany

Job Types: Full-time, Permanent

Bewerbungsfrage(n):

Ist es Ihnen möglich, mindestens einmal in der Woche, in unseren Büroräumen in Ulm anwesend zu sein?
Haben Sie beruflich bereits Neuronale Netze zu Bildverarbeitung eingesetzt?

Ausbildung:

Bachelor (Wünschenswert)

Berufserfahrung:

Python: 2 Jahre (Erforderlich)

Sprache:

Englisch (Erforderlich)

Work Location: Hybrid remote in 89081 Ulm

Direkt bewerben

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