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For Companies At a Glance
- Tasks: Run post-training pipelines and improve large language models for enterprise products.
- Company: Leading tech firm in London with a focus on innovation.
- Benefits: Competitive salary up to £300k, equity options, and a dynamic work environment.
- Other info: Opportunity for significant career growth and collaboration with product teams.
- Why this job: Join a small, high-performing team and make a real impact in AI technology.
- Qualifications: Experience with LLMs, strong PyTorch skills, and a track record of impactful work.
Location: London, 5 days in office
Salary: Up to £300,000 + Equity
The role
Senior research engineer experienced in post‑training large language models, with a focus on scaling, RLHF, DPO, reward modelling, and fine‑tuning built on strong base models. The team is small, the bar is high, and the work ships into product used by enterprise customers.
The work
- Run post‑training pipelines and own model improvements end‑to‑end
- Build evaluation frameworks that distinguish real capability gains from benchmark theatre
- Debug training runs, reason about model behaviour, ship better weights
- Work directly with product on what to train for next
What you bring
- Direct experience post‑training or fine‑tuning LLMs at scale
- Strong PyTorch and distributed training fundamentals
- Published research, serious open‑source, or shipped production model work
Senior Research Engineer (LLM Post-Training £300k) employer: Dex
Contact Detail:
Dex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Engineer (LLM Post-Training £300k)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with LLMs, especially any projects involving post-training or fine-tuning. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your PyTorch and distributed training fundamentals. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Research Engineer (LLM Post-Training £300k)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with post-training large language models. We want to see your skills in scaling, RLHF, and fine-tuning clearly laid out, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about LLMs and how your background makes you a perfect fit for our team. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've got published research or open-source contributions, make sure to include them! We love seeing real-world applications of your work, especially if they relate to model improvements or evaluation frameworks.
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 this exciting opportunity!
How to prepare for a job interview at Dex
✨Know Your Models Inside Out
Make sure you’re well-versed in the specifics of post-training large language models. Brush up on your experience with scaling, RLHF, DPO, and reward modelling. Be ready to discuss your past projects and how they relate to the role.
✨Demonstrate Your Problem-Solving Skills
Prepare to showcase your debugging skills and your ability to reason about model behaviour. Think of examples where you’ve improved model performance or resolved complex issues during training runs.
✨Showcase Your Collaboration Experience
Since the role involves working directly with product teams, be prepared to discuss how you’ve collaborated in the past. Highlight any experiences where you’ve influenced product direction based on your technical insights.
✨Bring Your Research to the Table
If you have published research or significant open-source contributions, make sure to mention them. This will demonstrate your expertise and commitment to the field, which is crucial for a senior position.