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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.
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.
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.
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.
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.
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.
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.
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 re-implementing and extending state-of-the-art papers.
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.
Experience developing controllers for highly dynamic robotic systems operating under complex contact interactions and demanding environmental conditions.
Experience with vision-based perception for robotics control, such as depth estimation, visual odometry, or visuomotor policy learning.
Familiarity with low-level motor control interfaces and real-time embedded systems constraints.
Experience with sensor fusion (IMU, proprioception, exteroception, vision) to inform and enhance learned control policies.
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.
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We're looking for IT support interns to join Datadog's Enterprise IT organization — the team responsible for managing the internal tools, systems, and services that keep Datadog running smoothly as we scale. As part of this team, you'll work alongside IT professionals to troubleshoot issues, support employee onboarding and offboarding, manage SaaS applications, and help maintain the infrastructure that internal teams rely on every day. This means providing excellent customer service to our employees to support thousands of endpoint devices such as macOS, iOS, Chrome OS and Windows. In addition, you will support software as a service (SaaS) solutions like Google Workspace, Slack, Zoom, Jamf, and more.
About the Role
The Enterprise IT Support team is responsible for the hardware and software that Datadog employees around the world use on a daily basis to successfully do their jobs. As an Enterprise IT Support intern, you will combine theoretical learning at your school with practical, hands-on experience in our IT Support team. Over the course of your internship, you will progressively take on more responsibilities while helping ensure our ever-growing user base has everything they need to do their job.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What You'll Do:
Who You Are:
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.
Benefits and Growth:
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Please ensure that you submit your CV/resume in English.
If possible, please apply using your personal email address instead of your university email address.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
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About Teads
Teads is a leading omnichannel advertising platform focused on driving outcomes for brand and performance advertisers across screens. With a focus on meaningful business outcomes for branding and performance objectives, Teads drives value by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, New York with a global team of around 1,700 people in 30+ countries.
For more information, visit www.teads.com.
The Teads Data Science Summer School, established in 2018, is a premier, intensive program designed to significantly advance the data science and machine learning skills of students and young professionals.
This hands-on, one-week program combines theoretical concepts with practical application, providing participants with a comprehensive understanding of data science and equipping them with sought-after, cutting-edge skills from the industry. Teads, a leader in digital innovation, is dedicated to fostering excellence through industry collaboration and education.
If you are passionate about data and enjoy coding, this is an exceptional opportunity to propel your career. During the one-week program, you will work with our highly talented data scientists and engineers, navigating the complete lifecycle of real-world data science projects. Using gigabytes of realistic advertising data, you will apply advanced data science techniques to solve actual industry challenges on a massive scale. A great opportunity for gaining practical knowledge and experience.
To qualify, you must possess strong coding skills and a foundational knowledge of data science and machine learning.
The program is entirely FREE, which includes all activities, lunches, coffee, and snacks. However, participants must commit fully to the entire duration of the program.
Who will benefit most from attending the Data Science Summer School?
The Teads Data Science Summer School is designed for enthusiastic individuals with some existing knowledge in machine learning and data science, gained through university studies, online courses, or involvement in platforms like Kaggle.
We encourage applications from final-year undergraduates, master's, and Ph.D. students in computer science or related fields, as well as recent graduates and professionals seeking to advance their expertise. Although prior experience is advantageous, the program is structured to accommodate all skill levels, allowing both beginners and advanced practitioners to learn and contribute effectively.
Essential prerequisites include a basic grasp of machine learning and data science concepts and proficiency in coding, as the summer school focuses heavily on practical, hands-on projects. While experience with Python and TensorFlow is helpful, it is not mandatory.
What to Expect?
Our team of expert data scientists and engineers will lead you through a week of engaging data science talks, hands-on workshops, and exciting experimentation. You will also have the opportunity to learn from internal and external guest lecturers and connect with fellow data scientists through various social activities.
The curriculum covers essential data science and machine learning topics, with an emphasis on real-life problems Teads solves every day in the programmatic advertising and full-funnel omnichannel data driven solutions.You can expect expert lectures on selected data science topics and hands-on workshops utilizing large and sparse datasets.
The official language of the summer schools, including all presentations and materials, is English.
Why Learn From Us?
At Teads, we’re building the leading recommendation platform for the Open Web. Our World-Class Data Science Team is daily working with:
Timeline
Registration open: 20. 4. 2026 - 14. 6. 2026Selection notification: 19. 6. 2026Summer School: 29. 6. 2026 - 3. 7. 2026
Life at Teads
At Teads, we don’t just offer new roles - we blend creativity, technology, and data to shape the future of media. You’ll work with smart humans, meaningful brands, and cool tools, all while helping redefine how advertising works in a world that demands more transparency, better insights, and smarter strategies.
As a Teadster, you’ll play a critical role in shaping our future success in the region. Here’s why Teads stands out:
Our company culture is welcoming, dynamic, diverse, global, and built on top performance.
Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment.
Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging through our Employee Resource Groups – employee-led groups in which we debate topics and drive change: environmental, women empowerment, charitable initiatives to diversity, equity, and inclusion, you’ll be able to share your passions with likeminded people.
Ready to apply?
Apply to Teads
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ABOUT CUBIST
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
JOB DESCRIPTION
Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.
Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.
DESIRABLE CANDIDATES
We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.
Ready to apply?
Apply to Point72
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