About Helsing
Helsing is a defence AI company with the mission to protect liberal democracies by achieving technological leadership. They aim to enable open societies to make sovereign decisions and control their ethical standards, taking a serious and thoughtful approach to the development and deployment of AI.
The company fosters an ambitious and committed team of software and deployment engineers, AI specialists, and customer-facing programme managers. Helsing embraces an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
The Role
Helsing delivers AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. As an AI Research Engineer specializing in Signal Processing, you will have the unique opportunity to shape AI capabilities in a challenging sector where high generalization capabilities must be paired with hardware constraints and robustness against adversarial attacks.
You will be part of a signal processing team, building in-house solutions for signal processing problems encountered in delivery projects.
Day-to-Day Responsibilities
- Develop and extend the state-of-the-art in signal processing.
- Apply and deploy signal processing technology in real-world scenarios.
- Contribute to projects and collaborate with people from diverse teams and backgrounds.
Required Qualifications
- MSc in signal processing, machine learning, robotics, communication engineering, or a related field, with experience in conceptualizing, implementing, and thoroughly evaluating advanced AI-based systems.
- Excellent communication skills, with the ability to report and present research findings clearly and efficiently, both internally and externally.
- Passion for staying updated with current research and a drive to reimplement/extend the state-of-the-art in ML/AI.
- Solid software engineering skills, including writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++.
Note: Helsing encourages applications even if you don’t meet all qualifications, as ability and impact cannot be fully summarized in bullet points. They recognize that women and other minority groups are under-represented in this field.
Nice to Have
- PhD in signal processing, machine learning, robotics, communication engineering, or a related field, with authored publications in top-tier journals and conferences.
- Experience implementing signal processing algorithms, time-frequency analysis, and parameter estimation.
- Experience deploying AI software to production, including testing, quality assurance, and monitoring.
Why Join Helsing?
- Impactful Work: Directly contribute to the protection of democratic countries while balancing ethical and geopolitical concerns.
- Unique Challenges: Operate in a domain with highly unusual technical requirements and constraints, where robustness, safety, and ethical considerations are vital. Face unique Engineering and AI challenges that make a meaningful impact.
- Cutting-Edge Innovation: Work at the forefront of technical innovation in areas like reinforcement learning, distributed systems, generative AI, and deployment infrastructure. Be part of historic leaps forward in the defense industry.
- Ambitious Goals: Focus on order-of-magnitude improvements and novel capabilities, taking bets and aiming high. Helsing has secured multiple significant government contracts.
- Culture of Debate and Autonomy: Actively encouraged to engage in healthy, proactive, and diverse debate internally. Teams and individuals are trusted to practice responsible autonomy and critical thinking, focusing on outcomes. You will have a say in how work is done and the opportunity to take ownership of cultural aspects.
What Helsing Offers
- A dynamic and flexible environment focused on outcomes.
- Competitive compensation and stock options.
- Relocation support.
- Social and education allowances.
- Regular team, company events, and all-hands meetings.
- A hands-on onboarding program ("AI-duction") to familiarize you with the company's tools and ML pipelines.
