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At Helsing, we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and robustness against adversarial attacks. You will be part of a signal processing team, where you will build in-house solutions for signal processing problems that we face, in the sky or underwater.
Job Responsibility:
Develop and extend the state-of-the-art in signal processing, applying and deploying the technology in real-world scenarios
Contribute to projects and will collaborate with people across several teams and backgrounds
Build in-house solutions for signal processing problems that we face, in the sky or underwater
Requirements:
Hold an MSc in signal processing, machine learning, robotics, communication engineering or related field with experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems
Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally
Are passionate about keeping up to date with current research and enjoy reimplementing / extending the state-of-the art in ML/AI
Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++
Nice to have:
A PhD in signal processing, machine learning, robotics, communication engineering or related field and have authored publications in top-tier journals and conferences
Experience with implementing signal processing algorithms, time frequency analysis, parameter estimation
Experience deploying AI software to production including testing, quality assurance, and monitoring
What we offer:
Competitive compensation and stock options
Relocation support
Social and education allowances
Regular team, company events, and all-hands to bring together employees as one team across Europe
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