Helsing

<h2>Who we are</h2>
Helsing is a defence AI company with the mission is to protect our liberal democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. We believe we have a responsibility to be thoughtful about the development and deployment of powerful technologies like AI and take this responsibility seriously. 
We are an ambitious and committed team of software and deployment 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 today.
We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. 
<h2>The role</h2>
At Helsing you will work at the intersection of machine learning and signal processing on RF data, helping build the AI capabilities inside our electronic warfare systems: models that detect, classify, and reason about RF signals in congested, contested spectrum. The data is messy, irregular, and adversarial. Output runs on real platforms, under hard latency and compute budgets. What you build has to survive contact with the deployment target.
You will own problems end-to-end: read the literature, prototype on real recorded data, push to the edge, watch it run. You will work in a small research team alongside RF and hardware engineers and the operators using the system.
Current focus areas include self-supervised representation learning on signal data, deinterleaving and emitter identification, mode recognition, and anomaly detection on embedded hardware.
<h2>You should apply if you</h2>
<ul>
<li>
Hold a PhD (or have an equivalent research track record) in ML, signal processing, physics, electrical engineering, or a related field, with publications at NeurIPS, ICLR, ICML, ICASSP, or similar venues.
</li>
<li>
Have shipped non-trivial ML into a real product - not just notebooks. You know what breaks between research and deployment.
</li>
<li>
Are comfortable on irregular, noisy sequence data: temporal models, self-supervised or contrastive methods, calibration under distribution shift.
</li>
<li>
Write clean Python, and are willing to pick up Rust where the deployment target demands it.
</li>
<li>
Read papers and reimplement them. You can tell which results will hold up and which won't.
</li>
<li>
Communicate research clearly to ML peers, RF engineers, and end users.
</li>
</ul>
We don't expect you to arrive with deep RF expertise. A strong ML or physics background and willingness to learn the domain alongside RF colleagues is enough.
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.
<h2>Nice to have</h2>
<ul>
<li>
Experience with EW, SIGINT, ESM/ELINT, RWR, or radar concepts.
</li>
<li>
Familiarity with RF signal theory at a level sufficient to talk to RF engineers (modulation, propagation, antenna patterns — see modulation-schemes).
</li>
<li>
Experience deploying ML to edge or embedded hardware (ONNX, TensorRT, quantisation, profiling on constrained GPUs).
</li>
</ul>
<h2>Join Helsing and work with world-leading experts in their fields</h2>
<ul>
<li>
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns
</li>
<li>
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
</li>
<li>
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
</li>
<li>
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
</li>
<li>
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
</li>
</ul>
<h2>What we offer</h2>
<ul>
<li>
Competitive salary and VSOP options
</li>
<li>
Relocation support: up to €2,500 and 4 weeks temporary accommodation
</li>
<li>
Learning: €500/£450 yearly allowance
</li>
<li>
Health &amp; wellness: gym membership and mental health support (Nilo.health)
</li>
<li>
Social: regular company events and monthly social allowances
</li>
<li>
Enhanced parental leave: 22 weeks fully paid for primary caregivers &amp; 6 weeks for secondary caregivers
</li>
<li>
Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
</li>
</ul>
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.<div><div> </div>
<div>Helsing's Candidate Privacy and Confidentiality Regime can be found <a href="https://helsing.ai/candidate-privacy-and-confidentiality-regime/" target="_blank" rel="noopener noreferrer ugc">here</a>. </div>
<div> </div>
<div> </div></div>

AI Research Engineer - ML & Signal Processing

<h2>Who we are</h2>
<div>
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. 
</div>
<h2>The role</h2>
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 real-world robustness.
You will be part of a team pushing the boundaries of autonomous robotics through reinforcement learning. Your work will focus on designing, training and deploying RL-based controllers for robots operating in complex, unstructured, and dynamic real-world environments — where classical control approaches fall short. This includes enabling robots to perceive and understand their surroundings by fusing rich sensory inputs, including vision, to inform robust and adaptive control. You will own the full pipeline from simulation to deployment, ensuring that learned policies are robust, efficient, and ready for real-world operation under tight hardware constraints.
<h2></h2>
<h2>You should apply if you</h2>
<ul>
<li>
Hold an MSc or PhD in Robotics, Machine Learning, Control Engineering, or a closely related field, with a strong focus on reinforcement learning and robot control.
</li>
</ul>
<ul>
<li>Have hands-on experience training and deploying RL-based controllers on real robotic hardware, not just in simulation — you have seen your policies fall, iterate, and ultimately succeed on a physical system.</li>
<li>
Are deeply familiar with modern RL techniques for continuous control, including but not limited to: model-free methods (PPO, SAC, TD3), model-based RL, hierarchical RL, sim-to-real transfer strategies, domain randomisation, and curriculum learning.
</li>
<li>
Have a solid understanding of robot dynamics, kinematics, and classical control theory (e.g. PID, model predictive control, trajectory optimisation), and know when and how to combine them with learned approaches.
</li>
<li>
Are proficient in building and working with physics-based simulators (e.g. MuJoCo, Isaac Gym/Isaac Lab, PyBullet, Gazebo) for training and validating RL policies.
</li>
<li>
Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust or modern C++, and have experience deploying AI software to production including testing, QA, and monitoring.
</li>
<li>
Have excellent communication skills and the ability to report and present research findings clearly and efficiently, both internally and externally.
</li>
<li>
Are passionate about keeping up to date with current research and enjoy re-implementing and extending state-of-the-art papers.
</li>
</ul>
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.
<h2>Nice to have</h2>
<ul>
<li>PhD in Robotics, Reinforcement Learning, Control Engineering, or related fields, with publications in top-tier venues (e.g. CoRL, ICRA, NeurIPS, ICLR, IROS, RSS).</li>
<li>
Experience developing controllers for highly dynamic robotic systems operating under complex contact interactions and demanding environmental conditions.
</li>
<li>
Experience with vision-based perception for robotics control, such as depth estimation, visual odometry, or visuomotor policy learning.
</li>
<li>
Familiarity with low-level motor control interfaces and real-time embedded systems constraints.
</li>
<li>Experience with online adaptation and meta-learning techniques to enable robots to adapt to changing environmental conditions</li>
<li>
Experience with sensor fusion (IMU, proprioception, exteroception, vision) to inform and enhance learned control policies.
</li>
</ul>

<h2>Join Helsing and work with world-leading experts in their fields</h2>
<ul>
<li>
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 
</li>
<li>
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. 
</li>
<li>
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. 
</li>
<li>
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.  
</li>
<li>
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. 
</li>
</ul>
<h2>What we offer</h2>
<ul>
<li>
Competitive salary and VSOP options
</li>
<li>
Relocation support: up to €2,500 and 4 weeks temporary accommodation
</li>
<li>
Learning: €500/£450 yearly allowance
</li>
<li>
Health &amp; wellness: gym membership and mental health support (Nilo.health)
</li>
<li>
Social: regular company events and monthly social allowances
</li>
<li>
Enhanced parental leave: 22 weeks fully paid for primary caregivers &amp; 6 weeks for secondary caregivers
</li>
<li>
Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
</li>
</ul>
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.
 <div><div> </div>
<div>Helsing's Candidate Privacy and Confidentiality Regime can be found <a href="https://helsing.ai/candidate-privacy-and-confidentiality-regime/" target="_blank" rel="noopener noreferrer ugc">here</a>. </div>
<div> </div>
<div> </div></div>

AI Research Engineer - Robotics

<h2>Who we are</h2>
<div>
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. 
</div>
<h2>The role</h2>
<div>[PLEASE ADD]</div>
<div>
<ul>
<li>
3-4 sentences giving a high level overview of the role. Make this part exciting to draw candidates in and keep them interested
</li>
</ul>
</div>
<h2>The day-to-day</h2>
[PLEASE ADD]
<ul>
<li>
6-7 bullet points explaining the day to day
</li>
</ul>
<h2>You should apply if you</h2>
[PLEASE ADD BULLETS]
<ul>
<li>
6-7 bullet points
</li>
</ul>
<h2>Nice to Have</h2>
<ul>
<li>
6-7 bullet points
</li>
</ul>
<h2>Join Helsing and work with world-leading experts in their fields </h2>
<ul>
<li>
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns
</li>
<li>
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
</li>
<li>
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
</li>
<li>
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
</li>
<li>
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
</li>
</ul>
<h2>What we offer</h2>
 
<ul>
<li>
Competitive salary and VSOP options
</li>
<li>
Relocation support: up to €2,500 and 4 weeks temporary accommodation
</li>
<li>
Learning: €500/£450 yearly allowance
</li>
<li>
Health &amp; wellness: gym membership and mental health support (Nilo.health)
</li>
<li>
Social: regular company events and monthly social allowances
</li>
<li>
Enhanced parental leave: 22 weeks fully paid for primary caregivers &amp; 6 weeks for secondary caregivers
</li>
<li>
Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
</li>
<li>
A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one (Specifically for engineering and AI)
</li>
</ul>
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 <a href="https://helsing.ai/candidate-privacy-and-confidentiality-regime/" rel="noopener noreferrer ugc" target="_blank">here</a>.
 <div><div> </div>
<div>Helsing's Candidate Privacy and Confidentiality Regime can be found <a href="https://helsing.ai/candidate-privacy-and-confidentiality-regime/" target="_blank" rel="noopener noreferrer ugc">here</a>. </div>
<div> </div>
<div> </div></div>

AI Research Engineer - Reinforcement Learning

<h2>Who we are</h2>
<div>
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. 
</div>
<h2>The role</h2>
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:
<ul>
<li>
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
</li>
<li>
Researching new model architectures, replicating and adapting SOTA detection, tracking, or classification methods to concrete use cases according to operational needs
</li>
<li>
Running multi-GPU or multi-node training jobs on large-scale sensor datasets to build powerful foundation or auto-annotation models
</li>
<li>
Interacting with product and downstream deployment teams to identify perception bottlenecks, prioritise improvements, and shape the roadmap for new capabilities
</li>
</ul>
<h2>You should apply if you</h2>
<ul>
<li>
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.
</li>
<li>
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.
</li>
<li>
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.
</li>
<li>
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.
</li>
<li>
Have excellent communication skills and the ability to report and present research findings clearly and efficiently, both internally and externally.
</li>
<li>
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.
</li>
</ul>
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.
<h2>Nice to have</h2>
<ul>
<li>
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).
</li>
<li>
Experience with object detection and classification, single and multi-object tracking, or scene understanding.
</li>
<li>
Experience designing, evaluating, and delivering end-to-end AI systems on edge devices with constrained compute resources.
</li>
<li>
Experience with simulators, emulators, or synthetic data generation pipelines.
</li>
<li>
Experience with Rust and/or C++.
</li>
</ul>
<h2>Join Helsing and work with world-leading experts in their fields</h2>
<ul>
<li>
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 
</li>
<li>
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. 
</li>
<li>
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. 
</li>
<li>
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.  
</li>
<li>
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. 
</li>
</ul>
<h2>What we offer</h2>
<ul>
<li>
Competitive salary and VSOP options
</li>
<li>
Relocation support: up to €2,500 and 4 weeks temporary accommodation
</li>
<li>
Learning: €500/£450 yearly allowance
</li>
<li>
Health &amp; wellness: gym membership and mental health support (Nilo.health)
</li>
<li>
Social: regular company events and monthly social allowances
</li>
<li>
Enhanced parental leave: 22 weeks fully paid for primary caregivers &amp; 6 weeks for secondary caregivers
</li>
<li>
Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
</li>
</ul>
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<div><div> </div>
<div>Helsing's Candidate Privacy and Confidentiality Regime can be found <a href="https://helsing.ai/candidate-privacy-and-confidentiality-regime/" target="_blank" rel="noopener noreferrer ugc">here</a>. </div>
<div> </div>
<div> </div></div>

Staff AI Research Engineer - Computer Vision

<h2>Who we are</h2>
<div>
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. 
</div>
<h2>The role</h2>
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 specialising in scene understanding and localisation, responsible for building systems for scene matching, geo-registration, simultaneous localisation and mapping (SLAM), and 3D reconstruction. 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:
<ul>
<li>
Developing and benchmarking scene matching and geo-registration pipelines robust to challenging conditions such as changes in illumination, viewpoint, season, or sensor modality.
</li>
<li>
Building and evaluating SLAM, visual odometry, or structure-from-motion systems for deployable platforms under real-world operational constraints.
</li>
<li>
Researching and adapting state-of-the-art geometric deep learning or feature matching methods to concrete use cases, from local feature descriptors to learned place recognition.
</li>
<li>
Collaborating with product and downstream deployment teams to integrate localisation and reconstruction outputs into navigation or decision-making pipelines and shape the roadmap for new capabilities.
</li>
</ul>
<h2>The day-to-day</h2>
You will develop computer vision models and pipelines that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios. 
You will also apply and develop techniques to adapt them to the target hardware and constraints associated to the downstream ML/AI tasks. 
You will contribute to impactful projects and will collaborate with people across several teams and backgrounds.
<h2>You should apply if you</h2>
<ul>
<li>
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.
</li>
<li>
Have hands-on experience developing localisation, scene matching, or 3D reconstruction systems. You have iterated on models and geometric pipelines beyond benchmarks and understand what it takes to make these systems reliable under real-world data distributions and deployment constraints.
</li>
<li>
Are deeply familiar with modern approaches to geometric computer vision and deep learning, including learned feature matching, place recognition, visual SLAM, visual-inertial odometry (VIO), or neural 3D representations such as neural radiance fields (NeRF), and have applied techniques such as domain adaptation or model compression to practical problems.
</li>
<li>
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.
</li>
<li>
Have excellent communication skills and the ability to report and present research findings clearly and efficiently, both internally and externally.
</li>
<li>
Are passionate about keeping up to date with current research and enjoy reimplementing and extending state-of-the-art approaches in geometric deep learning, SLAM, and 3D vision.
</li>
</ul>
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.
<h2>Nice to have</h2>
<ul>
<li>
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, ECCV).
</li>
<li>
Experience designing, evaluating, and delivering end-to-end AI systems on edge devices with constrained compute resources.
</li>
<li>
Experience with simulators, emulators, or synthetic data generation pipelines for geometry or localisation tasks.
</li>
<li>
Experience with Rust and/or C++.
</li>
</ul>
<h2>Join Helsing and work with world-leading experts in their fields</h2>
<ul>
<li>
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 
</li>
<li>
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. 
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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. 
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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.  
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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. 
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<h2>What we offer</h2>
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Competitive salary and VSOP options
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Relocation support: up to €2,500 and 4 weeks temporary accommodation
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Learning: €500/£450 yearly allowance
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Health &amp; wellness: gym membership and mental health support (Nilo.health)
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Social: regular company events and monthly social allowances
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Enhanced parental leave: 22 weeks fully paid for primary caregivers &amp; 6 weeks for secondary caregivers
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Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
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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<div><div> </div>
<div>Helsing's Candidate Privacy and Confidentiality Regime can be found <a href="https://helsing.ai/candidate-privacy-and-confidentiality-regime/" target="_blank" rel="noopener noreferrer ugc">here</a>. </div>
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Helsing

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