Staff AI Research Engineer - Computer Vision
At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making.
At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making.
At Helsing you will work at the intersection of machine learning and signal processing on RF data, helping build the AI capabilities inside
be part of our Data Science team to further optimize our innovative product based on machine learning and artificial intelligence - work on
Improve our computer vision pipeline end to end, from person and hand tracking to action recognition with VLMs - Fine-tune and evaluate visi
We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda.
Wir schreiben dir, sobald eine neue geprüfte Stelle in Berlin dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
We are seeking a Senior Machine Learning (ML) Research Scientist to join our team working on a novel AI safety agenda.
Entwickelt und trainiert Deep-Learning-Modelle für Wahrnehmung und Navigation autonomer Schwermaschinen und integriert sie in Robotiksysteme.
Tabular data breaks the assumptions that make scaling work for language and vision.
You will have ownership over designing, building, and scaling the core systems that bring Prior Labs foundation models to the world.
Führt Teams bei Software- und ML-Systemen zur Zahlungsrisiko- und Betrugserkennung, verantwortet Architektur und begleitet Produktivsetzung und Incident-Reviews.
Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
is linked with our office in Berlin, but we are flexible about hybrid or remote work in Germany.
At Mirelo, you’ll work at the centre of how we build the next generation of multimodal video-to-audio models.
Optimiert und betreibt die Trainingsinfrastruktur für generative Audiomodelle: GPU-Profiling, verteiltes Training und SLURM-Cluster.
Entwirft und trainiert neuronale Audio-Codecs für generative Sound-, Musik- und Sprachmodelle und prüft deren Nutzen in Downstream-Experimenten.
Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition - Build and
You’ll build the autonomy brain for a cutting-edge autonomous aerial platform that will actually take flight.
Change the way the world travels Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world.
Be part of one of our Data Science teams to further optimize our innovative product based on machine learning and artificial intelligence -
Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda.
At Helsing, we are pioneering the future of autonomous decision-making for defence.
We are looking for a Senior AI Engineer (Python) to join the Conversational AI (CAI) team in the Practice Efficiency domain.
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
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 computer vision team responsible for building models for object detection, recognition, classification, and tracking.
You will develop and extend state-of-the-art architectures and pipelines, design rigorous experiments, and conduct benchmarks to evaluate and improve real-world performance, including adaptation to the compute constraints and operational requirements of downstream deployments. You will collaborate across research, engineering, and product teams on high-impact projects. Typical examples of day-to-day responsibilities include, depending on the team: - Optimising models for real-time deployed performance on target hardware: selecting the best architecture or layers for throughput and latency constraints, curating and leveraging data to improve performance - Researching new model architectures, replicating and adapting SOTA detection, tracking, or classification methods to concrete use cases according to operational needs - Running multi-GPU or multi-node training jobs on large-scale sensor datasets to build powerful foundation or auto-annotation models - Interacting with product and downstream deployment teams to identify perception bottlenecks, prioritise improvements, and shape the roadmap for new capabilities You should apply if you - Hold an MSc in computer science, machine learning, robotics, or a closely related field, with experience in designing, implementing, and thoroughly evaluating advanced AI-based systems. - Have hands-on experience developing and deploying computer vision models.
You have iterated on models beyond benchmarks and understand what it takes to make visual perception reliable under real-world data distributions and deployment constraints. - Are deeply familiar with modern deep learning architectures for visual perception, including convolutional and transformer-based models, and have applied techniques such as multi-task learning, domain adaptation, or model compression to practical problems. - Possess solid software engineering skills, writing clean and well-structured code in Python, and have experience deploying AI software to production including testing, QA, and monitoring. - 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 and extending state-of-the-art approaches in computer vision and deep learning. Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
- PhD in computer vision, machine learning, robotics, or a related field, with publications in top-tier venues (e.g. CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS). - Experience with object detection and classification, single and multi-object tracking, or scene understanding. - Experience designing, evaluating, and delivering end-to-end AI systems on edge devices with constrained compute resources. - Experience with simulators, emulators, or synthetic data generation pipelines. - Experience with Rust and/or C++. Join Helsing and work with world-leading experts in their fields - Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. - The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. - Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. - In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts. - We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.
- Competitive salary and VSOP options - Relocation support: up to €2,500 and 4 weeks temporary accommodation - Learning: €500/£450 yearly allowance - Health & wellness: gym membership and mental health support (Nilo.health) - Social: regular company events and monthly social allowances - Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers - Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work These are the core benefits across all locations, there may be additional benefits in certain locations. 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.
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers.
We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
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Zur Originalanzeige216 geprüfte Stellen bei 134 Arbeitgebern, 29 davon ortsunabhängig. 90 in der KI-Entwicklung, 65 in Integration & Automatisierung.