AI Research Engineer - Reinforcement Learning

Helsing; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Benefits dieser Stelle

Competitive compensation and stock options

Relocation support

Social and education allowances

Regular company events

Hands-on onboarding program

Zusammenfassung

A defence AI company in Berlin seeks an AI Research Engineer specialized in Reinforcement Learning. The role involves designing and training agents in complex environments, contributing to RL stack improvements. Candidates should have an MSc in machine learning and solid software skills in Python or similar languages. This position offers a competitive compensation package, relocation support, and the chance to work on innovative AI projects that impact democratic countries. The company promotes diversity and values communication skills.

Qualifikationen

• Hold MSc in machine learning with a specialty in reinforcement learning or related areas.
• Have excellent communication skills for presenting research findings.
• Passionate about current research and implementing deep learning approaches.
• Possess solid software engineering skills and experience deploying AI software.

Aufgaben

• Implement and extend current state of the art in multi-agent reinforcement learning.
• Collaborate with teams to integrate ML/AI into production systems.

Kenntnisse

Reinforcement Learning

Multi-Agent Systems

Automation and Control

Robotics

Python

Rust

Java

C++

Ausbildung

MSc in Machine Learning

PhD in Reinforcement Learning or related fields

Jobbeschreibung

AI Research Engineer - Reinforcement Learning

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Who We Are

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.

The role

At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalisation capabilities and strong robustness against adversarial attacks.

You will be part of a team focused on reinforcement learning, where you will design, train and deploy agents in complex multi‑agent environments.

The day‑to‑day

You will contribute to our reinforcement learning stack by implementing, improving and extending the current state of the art in multi‑agent reinforcement learning.

You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting‑edge ML/AI in our production systems.

You should apply if

• Hold MSc in machine learning with a speciality in either reinforcement learning, multi‑agent systems, automation and control, or robotics.
• 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 or extending papers on state‑of‑the‑art deep learning‑based approaches.
• Possess solid software engineering skills, writing clean and well‑structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring.

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 reinforcement learning, multi‑agent systems, automation and control, robotics, or related fields and have authored publications in top‑tier journals and conferences (e.g., NeurIPS, ICML, ICLR, AAMAS).
• Experience with large‑scale RL training.
• Experience modelling and training multi‑agent controllers using state‑of‑the‑art tools and techniques.
• Experience deploying AI software to production including testing, quality assurance, and monitoring.

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 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

• A focus on outcomes, not time‑tracking.
• Competitive compensation and stock options.
• Relocation support.
• Social and education allowances.
• Regular company events and all‑hands to bring together employees as one team across Europe.
• A hands‑on onboarding program (affectionately labelled “AI‑duction”), in which you will be familiarising yourself with our tools and ML pipelines 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 AI and engineering teams from day one.

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.

Seniority level

• Entry level

Employment type

• Full‑time

Job function

• Engineering and Information Technology
• Software Development

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