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- Tasks: Architect memory and reasoning capabilities for next-gen autonomous systems.
- Company: Fast-growing AI startup backed by top-tier VCs.
- Benefits: Be a founding member with early-stage impact and funding stability.
- Why this job: Shape the future of agentic AI and tackle unsolved challenges.
- Qualifications: Expertise in search, retrieval, or reinforcement learning with production experience.
- Other info: Thriving in high-autonomy environments with excellent growth potential.
The predicted salary is between 36000 - 60000 ÂŁ per year.
As a Founding Applied Scientist, you will architect the foundational memory, reasoning, and learning capabilities of autonomous agentic systems. You will transcend traditional ML engineering by pioneering technologies for long-horizon planning and knowledge representation. This role focuses on building enterprise-grade superintelligence by combining cutting‑edge research with world‑class engineering to define the future of agentic AI.
Location: London, UK
Why this role is remarkable:
- Be a founding member, directly shaping the core architecture of next‑generation autonomous agents
- Backed by top‑tier VCs, combining early‑stage impact with funding stability
- Innovate beyond standard RAG on unsolved problems in multi‑stage retrieval and synthetic world models
What you will do:
- Design and scale foundational long‑horizon memory and knowledge infrastructure for agents to reason over evolving enterprise contexts
- Develop state‑of‑the‑art search and retriever systems using novel indexing techniques and knowledge representations
- Apply deep expertise in reinforcement learning and reasoning to guide agentic behavior in complex, multi‑step tasks
The ideal candidate:
- World‑class expertise in search, retrieval, or reinforcement learning with applied research experience in production systems
- Strong engineering fundamentals to build robust, enterprise‑grade systems capable of scaling to trillion‑agent interactions
- Thrives in high‑autonomy environments and is motivated to define foundational technologies for enterprise‑level agentic superintelligence
Founding Applied Scientist at fast-growing AI startup employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Applied Scientist at fast-growing AI startup
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those who are already working at startups. Use platforms like LinkedIn to connect and engage with them. You never know who might have a lead on that Founding Applied Scientist role!
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects related to memory, reasoning, and learning capabilities. This will give potential employers a taste of what you can bring to the table, especially in cutting-edge AI.
✨Tip Number 3
Prepare for interviews by diving deep into the latest trends in AI and autonomous systems. Be ready to discuss how your expertise in search, retrieval, and reinforcement learning can contribute to building enterprise-grade superintelligence. We want to see your passion and knowledge shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us. Let’s shape the future of agentic AI together!
We think you need these skills to ace Founding Applied Scientist at fast-growing AI startup
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and autonomous systems shine through. We want to see how your passion aligns with our mission to innovate in agentic AI. Share any relevant projects or experiences that highlight your commitment to this field!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Founding Applied Scientist role. Highlight your expertise in search, retrieval, and reinforcement learning, and how it relates to building enterprise-grade systems. We love seeing candidates who take the time to connect their skills with what we’re looking for!
Be Clear and Concise: In your written application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate well-structured applications that get straight to the point while showcasing your technical prowess and innovative ideas.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it shows you’re proactive and keen to join our team at StudySmarter!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Stuff
Make sure you brush up on the latest advancements in AI, particularly in memory, reasoning, and learning capabilities. Familiarise yourself with concepts like long-horizon planning and knowledge representation, as these will be crucial in your discussions.
✨Showcase Your Experience
Prepare to discuss your applied research experience in production systems. Be ready to share specific examples of how you've tackled complex problems in search, retrieval, or reinforcement learning, and how those experiences can translate to the role.
✨Think Big Picture
This role is about shaping the future of agentic AI, so think about how your work can impact the broader landscape. Be prepared to discuss innovative ideas that go beyond standard practices and how you envision solving unsolved problems in multi-stage retrieval.
✨Cultural Fit Matters
As a founding member, you'll play a key role in shaping the company culture. Show your enthusiasm for high-autonomy environments and demonstrate how your values align with the startup's mission. This will help you stand out as a candidate who not only has the skills but also fits the team.
