AI Research Engineer - Reinforcement Learning

Helsing; Greater London; On-site; GBP 60,543 - 77,841; Full time

Benefits offered by this job

Competitive salary

Stock options (ESOP)

Relocation support

Yearly learning allowance

Gym membership

Mental health support

Regular company events

Enhanced parental leave

Family emergency leave

Job summary

An AI defence company in Greater London seeks skilled individuals to develop AI systems for autonomous aerial platforms. The role involves building and integrating reinforcement learning agents and collaborating on ML/AI integration in production systems. Candidates should have an MSc in machine learning and strong software engineering skills, particularly in Python. The company values diversity and offers competitive benefits including salary, stock options, and wellness support.

Qualifications

• Excellent communication skills for reporting and presenting research.
• Passionate about extending papers on state-of-the-art Deep Learning.
• Solid software engineering skills, with experience in deploying AI.

Responsibilities

• Build, train, and integrate reinforcement learning agents into systems.
• Contribute to the reinforcement learning stack and improve existing models.
• Collaborate with teams to integrate ML/AI in production.

Skills

Reinforcement learning

Multi-agent systems

Python

Java

Rust

Modern C++

Education

MSc in machine learning

PhD in relevant fields

Job description

Overview

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’ll build the autonomy brain for a cutting-edge autonomous aerial platform that will actually take flight. You will be developing state-of-the-art reinforcement learning agents into the operational systems of our own Unmanned Combat Aerial Vehicle (UCAV), the CA-1 Europa, part of the groundbreaking Centaur project. This is a unique opportunity to directly contribute to a novel autonomous system designed from the ground up.

The day-to-day

You\'ll build, train and integrate reinforcement learning agents into high-performance runtime systems, enabling real-time autonomous decision-making in flight.

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 you

• 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 / 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 modeling 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 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 stock options (ESOP)
• 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.