AI Research Engineer - Reinforcement Learning
Role details
Job location
Tech stack
Job description
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., * Hold MSc in machine learning with a speciality in either reinforcement learning, multi-agent systems, automation and control, or robotics.
Requirements
- 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 / 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 (eg, 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
Benefits & conditions
- 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.
Helsing
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201-500 employees