AI Research Engineer - Foundation Models

AI Research Engineer - Foundation Models

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Helsing

At a Glance

  • Tasks: Research and develop cutting-edge AI models to transform complex data into autonomous capabilities.
  • Company: Join Helsing, a pioneering defence AI company dedicated to protecting democracies.
  • Benefits: Enjoy competitive salary, relocation support, wellness perks, and generous parental leave.
  • Other info: Embrace a culture of diversity, autonomy, and critical thinking in a dynamic environment.
  • Why this job: Make a real impact in the defence sector while working with world-leading experts.
  • Qualifications: MSc or PhD in relevant fields with strong skills in AI and software engineering.

The predicted salary is between 60000 - 80000 £ per year.

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.

The role involves researching, designing, and training large‑scale Foundational Models that transform complex multimodal sensor data into cutting‑edge autonomous capabilities. We are seeking an individual at the intersection of AI Research and Machine Learning Engineering, with a proven track record in LLM/VLM/(multimodal) backbones. Your primary focus will be training and fine‑tuning Vision‑Language Models on our custom datasets to power our different products. You’ll be responsible for the entire model lifecycle, from data curation and training to evaluation.

You should apply if you hold an MSc or PhD in Machine Learning, Computer Science, or Mathematics with a focus on Deep Learning, possess theoretical understanding and practical experience in training Foundational Models (LLMs, VLMs, or other large‑scale multimodal models) from scratch or through fine‑tuning, have strong software engineering skills in Python and fluency with modern DL frameworks (PyTorch/JAX), are a clear communicator who can build from complex theoretical concepts and contribute to the company’s internal research culture, and have a “first‑principles” mindset: you enjoy reading the latest ArXiv papers and implementing them into the codebase rapidly.

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:

  • Top‑Tier Research Track Record: You have authored publications in top‑tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL) specifically regarding attention mechanisms, efficient transformers, or multimodal learning.
  • Experience training models on large‑scale GPU clusters.
  • Proven experience in data curation, data cleaning, data pruning, and building robust data pipelines for large‑scale datasets.

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 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.

AI Research Engineer - Foundation Models employer: Helsing

Helsing is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from extensive growth opportunities in cutting-edge AI technologies, while contributing to meaningful projects that have a significant impact on defense. With a commitment to professional development and a supportive team environment, Helsing stands out as a rewarding place to advance your career.

Helsing

Contact Details:

Helsing Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Research Engineer - Foundation Models

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with Helsing employees on LinkedIn. A personal introduction can make all the difference when it comes to landing that interview.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. This is your chance to demonstrate your expertise in training Foundational Models and using modern DL frameworks.

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and understanding of AI concepts. Practice common interview questions and be ready to discuss your experience with LLMs and VLMs in detail.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Helsing team.

We think you need these skills to ace AI Research Engineer - Foundation Models

Machine Learning
Deep Learning
Foundational Models
Vision-Language Models
Python
PyTorch
JAX

Some tips for your application 🫡

Show Your Passion for AI:When writing your application, let your enthusiasm for AI and its ethical implications shine through. We want to see that you’re not just skilled but also genuinely excited about the impact of your work in defence technology.

Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to highlight your experience with Foundational Models and any relevant projects. We love seeing how your unique background aligns with our mission, so don’t hold back!

Be Clear and Concise:In your written application, clarity is key. Use straightforward language to explain complex concepts, as we value clear communication. Remember, we’re looking for someone who can bridge theory and practice effectively.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at Helsing

Know Your Models Inside Out

Make sure you have a solid grasp of the foundational models you'll be working with. Brush up on your knowledge of LLMs and VLMs, and be ready to discuss your experience in training and fine-tuning these models. Being able to explain complex concepts clearly will show that you can communicate effectively within the team.

Showcase Your Coding Skills

Since strong software engineering skills in Python are crucial for this role, prepare to demonstrate your coding abilities. Bring examples of custom layers or loss functions you've implemented, and be ready to tackle coding challenges during the interview. This will highlight your practical experience with modern deep learning frameworks like PyTorch or JAX.

Discuss Ethical Considerations

Given Helsing's focus on ethical AI deployment, be prepared to engage in discussions about the ethical implications of AI technologies. Think about how you would approach responsible AI development and be ready to share your thoughts on balancing innovation with ethical standards.

Prepare for Technical Challenges

Expect to face unique technical challenges during the interview. Familiarise yourself with the latest advancements in reinforcement learning, distributed systems, and generative AI. Be ready to discuss how you would tackle these challenges and contribute to Helsing's mission of redefining perception in defence technology.