Who we are

The role

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.

You should apply if you

• 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.

• 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.

• 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.

Nice to have

• PhD in Robotics, Reinforcement Learning, Control Engineering, or related fields, with publications in top-tier venues (e.g. CoRL, ICRA, NeurIPS, ICLR, IROS, RSS).

• 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 online adaptation and meta-learning techniques to enable robots to adapt to changing environmental conditions

• Experience with sensor fusion (IMU, proprioception, exteroception, vision) to inform and enhance learned control policies.

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. 

What we offer

• 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.

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:

• Learn and assist in providing customer service and technical support for our employees
• Shadow and support laptop deployment as part of onboarding and refresh cycles
• Participate in new hire orientations to understand policies, best practices and services used within Datadog
• Assist with general ticketing, account management, and basic troubleshooting under supervision
• Help maintain hardware and software inventory
• Contribute to documentation creation and maintenance
• Observe and support unified communications setups in conference rooms and common areas
• Participate in team meetings and knowledge-sharing sessions
• Gain exposure to deployment and security-related projects
• Develop skills in various SaaS tools and IT workflows

Who You Are:

• You will graduate in 2026 with a degree in IT, Communications, or a related field
• This internship is required as part of your academic curriculum
• You are passionate about technology and eager to learn
• You love working in a team and helping people
• You have a basic understanding of computer hardware and software
• You have good communication skills in English and French
• You are curious about how things work and enjoy problem-solving
• You want to gain experience in a fast-paced, high-growth startup environment
• You have a positive attitude and are ready to learn from experienced team members
• Familiarity with macOS, iOS, or other Apple devices
• Basic knowledge of Google Workspace or other SaaS applications
• You are available to complete a 6-month internship starting in June or July 2026 (we are unable to accommodate internships starting at any other time)

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: 

• Opportunities to work with teammates in-office and across the globe on meaningful challenges that will keep you thinking
• Intradepartmental mentor and buddy program for in-house networking
• In-person intern cohort and monthly company social events
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Relocation support and travel benefits
• Unlimited snacks and drinks in our office; catered lunches on Monday, Wednesday, and Friday
• Beautiful offices in convenient locations

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

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:

• Machine Learning at Scale: Our systems calculate over 1 billion machine learning predictions every second
• Immediate Business Impact: Deployed ML models have a direct and significant impact on our business
• Production-Ready Algorithms: We don't keep cutting-edge deep learning algorithms on the shelf - we deploy them to make a difference
• Massive Data Processing: We generate and manage petabytes of data daily, using our own data centers, S3, and BigQuery
• Multi-Cloud Environment: Our infrastructure leverages the power of AWS, GCS, and a private cloud
• Optimized Production: Java and Go-lang are our primary production languages; Python is used for offline research
• In-House TensorFlow Expertise: Our highly optimized ML algorithms are developed in-house using TensorFlow
• In-House Distributed AutoML Framework: Our custom AutoML framework empowers effective offline research
• End-to-End Ownership: Our data scientists own the ML-powered features they develop, from initial concept to final product
• Continuous Learning: We foster a culture of learning, both internally and externally 
• Knowledge Sharing: We share our expertise externally through conference talks, meetups, and student mentorship programs 
• Global Collaboration: We're part of a world-class data science and software engineering organization with a global presence

Timeline 

• Registration open: 20. 4. 2026 - 14. 6. 2026
• Selection notification: 19. 6. 2026
• Summer School: 29. 6. 2026 - 3. 7. 2026

Registration open: 20. 4. 2026 - 14. 6. 2026Selection notification: 19. 6. 2026Summer School: 29. 6. 2026 - 3. 7. 2026

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

• MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
• 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX
• Strong analytical and quantitative skills
• Demonstrated ability to conduct independent research utilizing large data sets
• Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
• Detail-oriented
• Willing to take ownership of his/her work, working both independently and within a small team

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.