Who we are

We are building Helsing to keep our democracies from harm. We believe that software – and artificial intelligence in particular – will be the key capability to do just that. Our mission is to attract Europe’s best mission-driven tech talent and apply their capabilities to some of the most complex problems in defence technology.

We are looking for people with their heart in the right place, who share our conviction that our democratic values are worth protecting, for ourselves and for future generations. We are a diverse team of software engineers, deep learning specialists and customer-facing programme managers, working on some of the most challenging problems in the defence space.

We care about our work and mission, and we welcome open and transparent discussions about the use of AI, its benefits and its ethical implications.

Your Impact

As a Software Engineer - ML Infra, you will have the opportunity to define and build the tools and infrastructure on which Helsing operates our data and machine learning pipelines in the cloud.

What you will work on

Setup and deploy scalable Machine Learning workloads relating to data pre-processing, model training, model evaluation and model inference on cloud infrastructure
Work together with our Machine Learning teams, in particular on implementing code to gather data (e.g., dataset crawling), load and extract data (e.g., extract image frames from video files), transform data (e.g., standardise annotation information) and validate data
Work together with internal and external stakeholders to generate more data, e.g., run tools that generate synthetic image data out of 3D models and run tools that generate synthesised image data by means of Machine Learning GAN models
Take control of our data annotation tasks and toolsets (both with internal and external annotation suppliers)
Implement and operate Helsing’s data management infrastructure, including data and model versioning, provenance, and pipelining
Develop internal tools for automatic image annotation
Make our Machine Learning models reproducible

Who we are looking for

Note: The following bullet points describe one version of our dream candidate. We very much encourage you to apply even if you believe you meet only part of our wish list.

Strong Python skills: you know how to write clean Python code and organise functionality across Python modules
Machine Learning experience: while you are not required to independently implement complex Machine Learning code, we require you to have a decent understanding of Machine Learning concepts that allow you to collaborate with our Machine Learning teams
Experience transforming research prototypes into robust and scalable products running on cloud infrastructure or edge devices
A cross-team player that can juggle multiple tasks and projects in parallel with ease
Organisational talent: being able to independently organise short and long-lived tasks and projects that depend on internal and external stakeholders
Friendly communication skills: you will collaborate with various internal and external stakeholders from different professional backgrounds

Nice to have

Image and video understanding knowledge, in particular around using PIL, OpenCV and FFmpeg and Python modules relating to image and video processing
Experience with propagating annotation information across data
Experience with implementing or operating a complex annotation service
Experience with synthesising images and videos by means of Machine Learning GAN models
Experience with Linux, containerisation and infrastructure management
Experience with Continuous Integration and Continuous Delivery tools

Why Helsing

There is no other company like Helsing: we are at a pivotal stage in our journey, with a unique level of funding, and a unique level of ambition
Work alongside and learn from world-class AI researchers and software engineers. Our team combines excellence with dedication to our mission
Define, create, and build from the ground up. Technology, processes, and even the organisation we are all part of
Be part of, and build, the foundational culture of the most important deep tech company in Europe

What we offer

The chance to work in an innovative organisation focused on protecting our democracies and future generations
The opportunity to drive impact in a fast-growing company with mission-orientated colleagues
Diverse, collaborative and focused teams located in Munich, Berlin, London and Paris
Flexible working hours
Supportive team structures and regular feedback
Regular company events to bring together all staff as one unit across Europe
Competitive compensation and stock options

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Helsing's Candidate Privacy and Confidentiality Regime can be found here.

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