Technology, Information and Internet

deepeye Medical GmbH

11-50

More paid time off than the statutory minimum.

Additional vacation days

An on-site cafeteria serving meals during working hours.

Cafeteria

A laptop and the software you need, provided by the employer.

Company laptop

A share in the company's success through equity or stock options.

Company stock options

Adapt your start and end times around your life and workload.

Flexible working hours

Free coffee, tea, water and soft drinks at the office.

Free beverages

Work from home for part of your working week.

Home Office

A budget or equipment to set up a proper workspace at home.

Home Office Equipment

A covered or subsidised ticket for buses, trains and local transit.

Public transportation benefits

Work fully remotely, from home or anywhere agreed.

Remote work

 Travel costs for your commute or work trips are reimbursed.

Travel expenses compensation

Diversity

Impact

Ownership

Sustainability

How AI will transform blindness prevention | Manuel Opitz | TEDxTUM

Wie wir 1 Millionen Menschen vor Blindheit bewahren können bis 2030

deepeye in 1 minute | Ratko Petrovic

Oracles of Eye Innovation Webinar XII | Manuel Opitz

<p>What we are doing</p>
<p>Our mission is to prevent vision loss and ultimately blindness by developing AI software that assists eye doctors in therapy planning for their patients. We use computer vision deep learning models(AI) trained on thousands of cases and millions of images to identify and predict disease progression. The decision support algorithm targets popular eye diseases like Age-related Macular Degeneration (AMD, 7.5mio affected in Germany alone).</p>
<h2>Tasks</h2>
<p>Your responsibilities</p>
<ul>
<li>Your main task is to prepare data for analytical or operational uses, i.e. by integration, consolidation, cleansing and structuring of data</li>
<li>You are responsible for building and optimizing data pipelines to bring together information from different source systems, i.e. imaging and clinical data</li>
<li>You are great in your job when your fellow data scientist always have easy access to tools and data needed to carry out their deep learning experiments</li>
<li>Optional: You will instruct and lead students as well as junior colleagues in the tech team</li>
</ul>
<h2>Requirements</h2>
<p><strong>What we are looking for</strong></p>
<p>Your must-haves</p>
<ul>
<li>3+ years of applied experience in data engineering related to computer vision and imaging analysis (2D/3D image processing, segmentation, image normalization, ideally medical imaging)</li>
<li>Applied knowledge of deep and machine learning (ML) techniques </li>
<li>5+ years of programming in Python, in developing software in AI and data-centric domains</li>
<li>Experience in working with relational databases (e.g. PostgreSQL), and modern, scalable storage technologies (e.g. Azure FileShare) </li>
<li>Knowledge of software engineering best practices e.g. code reviews, CI/CD, testing, operations</li>
</ul>
<p>Your nice-to-haves</p>
<ul>
<li>Degree in data science/engineering, bioengineering, computer science, medical physics or similar</li>
<li>Experience using Docker, setting up containerized solutions, cloud deployment and hosting</li>
<li>Knowledge of at least one programming language like C#, C++ or Java</li>
<li>Working-level English (C1 or higher)</li>
</ul>
<h2>Benefits</h2>
<p>What we offer</p>
<ul>
<li>Payment, startup culture &amp; a great, international team</li>
<li>High personal responsibility for your project &amp; fast personal growth</li>
<li>Flexible working hours, remote work &amp; central office in Munich’s startup hub</li>
<li>Direct impact on improving quality of life for our end users (patients)</li>
</ul>
<p>Reach out to us with information about your availability, salary expectation and a link to your conclusive profile (GitHub, LinkedIn, CV). We do not require a motivation letter, but if you like please share with us in 2-3 sentences why you want to help us in preventing blindness with AI.</p>

(Senior) Data Engineer - Medical Imaging

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