At a Glance
- Tasks: Design and develop cutting-edge AI agents and scalable systems.
- Company: Join a pioneering AI startup pushing the boundaries of superintelligence.
- Benefits: Competitive salary, professional growth, and a dynamic multicultural team.
- Other info: Hybrid role with opportunities for travel and continuous learning.
- Why this job: Shape the future of AI and work with world-class talent.
- Qualifications: Senior experience in AI/ML projects and strong collaboration skills.
The predicted salary is between 80000 - 100000 £ per year.
About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.
About the Team: The Agent team defines new learning algorithms and agent paradigms to push the frontiers of agentic systems. We build upon foundation models and reinforcement learning to develop new approaches to train artificial general agents and work closely with the LLM/VLM and Safety teams to explore new directions. This is a heavily engineering-focused role embedded within the research team. You will be responsible for defining the architecture and building the robust, scalable systems that underpin our research efforts. Your work will translate cutting-edge research concepts into high-performance, production-quality platforms, enabling the next generation of agentic AI.
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: 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).
- Soft Skills: Enjoys collaboration and thrives in a teamwork-oriented, fast-paced research environment. Possesses impactful communication skills, with the ability to bridge the gap between research and engineering and articulate complex ideas clearly. Genuinely eager to explore and solve the new engineering and research challenges at the frontier of agentic AI.
Bonus Skills:
- 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.
- If you want to change the status quo in AI, join us.
Member of technical staff - Agent employer: H Company
H Company is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the fast-paced AI sector. With a strong emphasis on employee growth, you will have access to cutting-edge projects and the opportunity to work alongside talented professionals in either Paris or London, all while enjoying the flexibility of a hybrid work model. Join us to be part of a mission-driven team that values your contributions and supports your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Member of technical staff - Agent
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI community. Attend meetups, conferences, or even online webinars. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to agentic AI or reinforcement learning. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and systems design knowledge. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our mission to push the boundaries of AI.
We think you need these skills to ace Member of technical staff - Agent
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! We want to see how dedicated you are to pushing the boundaries of agentic AI and how your experiences align with our mission.
Tailor Your Experience:Make sure to highlight your relevant experience in AI and machine learning. We’re looking for those who have led complex projects, so don’t be shy about showcasing your achievements and how they relate to the role.
Be Clear and Concise:While we love a good story, keep your application clear and to the point. Use straightforward language to explain your skills and experiences, making it easy for us to see why you’d be a great fit for the team.
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 in shaping the future of AI!
How to prepare for a job interview at H Company
✨Know Your Stuff
Make sure you brush up on your knowledge of agentic AI and reinforcement learning. Be ready to discuss your previous projects in detail, especially those that involved complex systems or large-scale models. This will show that you’re not just familiar with the theory but have practical experience too.
✨Show Your Collaborative Spirit
Since this role is heavily focused on teamwork, be prepared to share examples of how you've successfully collaborated with others in past projects. Highlight your communication skills and how you bridge the gap between research and engineering. This will demonstrate that you fit well into their collaborative culture.
✨Prepare for Technical Challenges
Expect to face some technical questions or challenges during the interview. Practice explaining your thought process when designing algorithms or systems. Being able to articulate your approach to problem-solving will impress the interviewers and show your depth of understanding.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team’s current projects or future directions in agentic AI. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it opens up a dialogue that can make the interview feel more like a conversation.
