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- Tasks: Work on cutting-edge LLM systems and improve AI document processing.
- Company: Fast-scaling, YC-backed LegalTech AI company with a high technical bar.
- Benefits: Competitive salary, opportunity to publish research, and work in a dynamic team.
- Why this job: Join an elite team and make a real impact in the AI industry.
- Qualifications: New grads with MSc or PhD in CS/ML/NLP and strong applied ML research background.
- Other info: Onsite role in Central London with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Do you want to work on LLM systems that ship to real users, not just papers? Do you want to publish at top AI venues and build in industry full time? Are you ready to join a small, elite team with a genuinely high technical bar? A fast-scaling, YC-backed LegalTech AI company is building GenAI systems across document processing, draft generation and information retrieval. Their platform is already used by hundreds of legal teams globally, and they are now expanding their AI group as they scale in London and internationally. This is not a generic graduate role. They are looking for exceptional early-career research engineers who can combine strong academic foundations with practical engineering execution.
The role involves working on applied research problems directly connected to production GenAI systems: improving retrieval, reasoning quality, grounding, evaluation, and system robustness across large, complex document corpora.
Key Responsibilities:- Build and iterate on LLM + RAG pipelines over technical/legal documents
- Design evaluation methods to improve correctness, faithfulness, and reliability
- Improve retrieval quality (chunking, ranking, metadata strategies, failure analysis)
- Prototype and productionise applied research ideas into product workflows
- Collaborate closely with backend/full-stack engineers to deploy features end-to-end
- New Grad / Early Career, ideally MSc or PhD in CS/ML/NLP (or related)
- Strong applied ML research background, ideally with publications in top venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI (added bonus)
- Strong engineering fundamentals in Python
- Comfortable working in real codebases (not just notebooks)
- Product-minded: enjoys turning research into shipped systems
- Happy working onsite 5 days per week in Central London
Interested? Please apply below.
Applied Research Engineer – New Grad / Early Career - Harnham in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Research Engineer – New Grad / Early Career - Harnham in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. Use platforms like LinkedIn to connect and engage with them; you never know who might help you land that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLM systems or applied research. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of ML concepts. Practice common interview questions and problems, and don’t forget to articulate your thought process during the interview!
✨Tip Number 4
Apply through our website! We’re always on the lookout for fresh talent, and applying directly can sometimes give you an edge. Plus, it shows your enthusiasm for joining our team!
We think you need these skills to ace Applied Research Engineer – New Grad / Early Career - Harnham in London
Some tips for your application 🫡
Show Off Your Research: Make sure to highlight any research projects or publications you've worked on, especially if they're related to ML or NLP. We love seeing how your academic work translates into practical applications!
Tailor Your Application: Don’t just send a generic CV and cover letter. Take the time to tailor your application to the role. Mention specific skills or experiences that align with the job description – it shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured documents that are easy to read. Avoid jargon unless it’s relevant to the role – we want to understand your experience without getting lost in technical terms.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Jobster
✨Know Your Research Inside Out
Make sure you can discuss your research projects in detail, especially any publications you've contributed to. Be prepared to explain the methodologies you used and how they relate to the applied research problems the company is tackling.
✨Showcase Your Engineering Skills
Since the role requires strong engineering fundamentals, be ready to demonstrate your coding skills in Python. Brush up on your ability to work with real codebases and think through how you would prototype and productionise research ideas.
✨Understand the Product Mindset
This isn’t just about theory; it’s about turning research into practical applications. Think about how your past experiences can translate into building features that improve retrieval quality or system robustness. Be ready to share examples of how you've done this before.
✨Prepare for Technical Questions
Expect technical questions related to LLM systems, document processing, and evaluation methods. Review key concepts and be prepared to discuss how you would approach improving retrieval and reasoning quality in a production environment.
