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For Companies At a Glance
- Tasks: Design and develop cutting-edge AI agents while leading innovative research projects.
- Company: Join a pioneering AI startup shaping the future of technology.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic, multicultural team environment with exciting career development opportunities.
- Why this job: Be at the forefront of AI innovation and collaborate with top talent.
- Qualifications: Senior experience in AI/ML with a strong publication record preferred.
The predicted salary is between 80000 - 100000 £ per year.
Key Responsibilities
- Research & Leadership: Design and develop new agents, proposing new research directions, e.g., combining state-of-the-art RL with foundation models (LLMs/VLMs).
- Algorithm & Systems Design: Design, implement, and scale complex, high-performance systems for training large-scale agents. This includes both the foundational infrastructure and the novel algorithms, reward models, and sophisticated training environments.
- Research-to-Production: Collaborate closely with researchers and engineers to implement, test, and productionize new agent logics, learning algorithms, and system architectures.
- Evaluation & Reliability: Create, manage, and scale massive benchmarks and evaluation systems to rigorously track agent capabilities. You will own system reliability, scalability, and observability for our entire research infrastructure.
- Mentorship & Standards: Mentor and guide other engineers and researchers on the team, fostering technical excellence. You will establish and enforce engineering standards, tooling, and best practices for both code and research design.
- Innovation: Conduct thorough code and design reviews, champion technical innovation, and proactively address technical debt to accelerate the R&D lifecycle.
Requirements
- Technical Skills:
- Senior Experience: Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer (or equivalent Research Scientist) in a Frontier AI Lab with a proven track record of leading complex, end-to-end AI/ML projects from conception to production.
- Education / Publication: Preferably PhD (or equivalent research experience) in Machine Learning, Computer Science, or a related field, preferably with a strong publication record (e.g., NeurIPS, ICML, ICLR) in Computer Science.
- Core Expertise: Deep theoretical and practical expertise in Agentic AI and proven experience building, scaling, and shipping solutions involving foundation models (LLMs/VLMs).
- Collaborative: Enjoys collaboration and thrives in a teamwork-oriented, fast-paced research environment.
- High-Impact Communicator: Possesses impactful communication skills, with the ability to bridge the gap between research and engineering and articulate complex ideas clearly.
- Mission-Driven: Genuinely eager to explore and solve the new engineering and research challenges at the frontier of agentic AI.
- Practical experience applying Reinforcement Learning to systems built on Large Language Models (LLMs).
- Experience with distributed systems or cloud computing, preferably in AWS.
- Familiarity with building complex simulation environments for agent training.
- Experience with LLM training or fine-tuning.
- Experience developing large-scale evaluation and benchmarking systems for AI models.
- Experience in an agentic framework (e.g., LangChain, AutoGen, CrewAI, OpenAI SDK).
- Expertise in system architecture, instrumentation, observability, and monitoring for complex, high-performance systems.
Location
Paris or London. This role is hybrid, and you are expected to be in the office 3 days a week on average. Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).
What We Offer
- Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.
- Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.
- Enjoy a competitive salary.
- Unlock opportunities for professional growth, continuous learning, and career development.
Member of technical staff - Research - Agent in London employer: H Company
Contact Detail:
H Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of technical staff - Research - Agent in London
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to agentic AI and reinforcement learning. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex ideas clearly, as communication is key in bridging research and engineering.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Member of technical staff - Research - Agent in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role. Highlight your previous work in AI/ML projects, especially those involving agents and large-scale systems. We want to see how you’ve led complex projects from start to finish!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about agentic AI and how your background makes you a perfect fit for our team. Don’t forget to mention any relevant publications or research that showcases your expertise.
Showcase Your Collaboration Skills: Since we thrive on teamwork, make sure to highlight your collaborative experiences. Share examples of how you've worked with researchers and engineers to bring projects to life. We love seeing candidates who can bridge the gap between research and engineering!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our exciting journey at StudySmarter!
How to prepare for a job interview at H Company
✨Know Your Stuff
Make sure you brush up on your knowledge of reinforcement learning and foundation models. Be ready to discuss your previous projects in detail, especially those that involved complex systems and agentic AI. This will show that you have the technical chops for the role.
✨Show Your Collaborative Spirit
Since this role requires a lot of teamwork, think of examples where you've successfully collaborated with others. Highlight how you’ve bridged the gap between research and engineering, and be prepared to discuss how you mentor or guide others in a team setting.
✨Prepare for Technical Questions
Expect to face some challenging technical questions during the interview. Review key concepts related to system architecture, scalability, and observability. Practise explaining complex ideas clearly, as communication is key in this role.
✨Demonstrate Your Passion for Innovation
Be ready to talk about how you’ve championed technical innovation in your past roles. Share specific examples of how you’ve tackled technical debt or improved R&D processes. This will show that you’re not just a doer, but also a thinker who’s eager to push boundaries.