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- Tasks: Build cutting-edge AI security that learns and adapts to protect autonomous systems.
- Company: Join a pioneering startup redefining AI security for banks, hospitals, and governments.
- Benefits: Enjoy full autonomy, flexible work, and the chance to shape the future of AI.
- Why this job: Be a founding member and make a real impact in the AI security landscape.
- Qualifications: Experience in training LLMs and building from scratch in dynamic environments.
- Other info: Work with an exceptional founding team and enjoy excellent growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
What is Overmind: AI agents are going into production at banks, hospitals, and governments. The problem? Existing security tools weren't built for systems that make autonomous decisions in real-time. We're building Overmind - the security layer that actually understands how AI agents work. We learn each agent's behaviour patterns and catch the subtle failures that matter, without breaking production workflows.
The opportunity: This is infrastructure-level work at the frontier of AI deployment. We're defining how autonomous systems operate in environments where mistakes have real consequences.
As a Founding ML Scientist you will:
- Build security that evolves: Help build the next generation of AI security that learns and adapts to each agent it protects. As AI systems get more sophisticated, so do the defences.
- Define infrastructure for a new era: You're not building another monitoring tool. You're establishing the control layer for AI making real-time decisions in banks, hospitals, and defence.
- Shape what we build and why: You're a founding team member, not just a hire. Help define the problem space, shape the product vision, and decide what AI security needs to be. Your technical insights drive company strategy.
- Own your domain completely: Full autonomy over architecture, tooling, and standards. You decide how to build and scale. No approval chains. You ship, iterate, and help set the technical culture.
The team: You'll be working directly with the founding team:
- Tyler Edwards (CEO): Former Intelligence Officer working across MI5/MI6/GCHQ. 3 AI safety publications. Built tech for Defence and intelligence operations.
- Akhat Rakishev (CTO): Former Data Scientist and ML Engineer from Monzo and Lyst. Architected and scaled ML pipelines, led ML projects adding $1M+ ARR.
- Sam Brunt (CRO): GTM leader with 8+ years at B2B startups. Scaled Vertice from traction to $5-20M ARR. First GTM hire EMEA at Pipe.
What we're looking for:
- Technical depth: Training LLMs with modern methods e.g. RL with GRPO, fine-tuning with QLoRA etc. Setting up multi-GPU training and inference infrastructure in cloud (GCP/AWS) Using modern optimisation libraries for efficient training and inference e.g. vLLM, Unsloth, torchtune.
- Founding engineer mindset: You've built things from scratch before, whether at a startup, on side projects. You're comfortable with ambiguity and can make pragmatic technical decisions within incomplete information. You default to shipping and iterating rather than over-engineering.
- Bonus points for: Experience in regulated industries (fintech, health-tech, defence). Background in AI safety, security, or evaluation. Open-source contributions or projects in the AI/ML space. Previous founding or very early-stage startup experience.
Ways of working: We build our team with these values in mind:
- Default to trust. We hire exceptional people and get out of their way.
- Autonomy over process. Pursue impact. We're obsessed with outcomes. Your work needs to create real value - that's what matters.
- Work intentionally. Deep focus when you need it. High-bandwidth collaboration when it matters. Flexibility is key - we care about outcomes, not where you're sitting.
Founding Engineer employer: Antler
Contact Detail:
Antler Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to Overmind. Use LinkedIn or even Twitter to engage with them. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions in AI/ML, make sure to highlight them. Create a portfolio or GitHub repo that showcases your work. This is your chance to shine and demonstrate your technical depth.
✨Tip Number 3
Prepare for the interview like it’s a big game! Research Overmind thoroughly, understand their mission, and think about how your experience aligns with their goals. Be ready to discuss how you can contribute to building security that evolves.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Overmind team. Don’t miss out on this opportunity!
We think you need these skills to ace Founding Engineer
Some tips for your application 🫡
Show Your Passion for AI Security: When you're writing your application, let your enthusiasm for AI security shine through! We want to see how you connect with our mission at Overmind and why you're excited about building the next generation of AI security. Share any relevant experiences or projects that highlight your passion.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Make sure your skills and experiences are easy to spot – we want to know what makes you a great fit for the Founding Engineer role without sifting through fluff!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements and values mentioned in our job description. Highlight your technical depth and founding engineer mindset, and show us how you can contribute to our unique challenges.
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 it gets the attention it deserves. Plus, it shows us you’re serious about joining our team at Overmind!
How to prepare for a job interview at Antler
✨Understand the Company and Its Mission
Before your interview, dive deep into Overmind's mission and the challenges they aim to solve. Familiarise yourself with how their AI security layer works and think about how your skills can contribute to this innovative approach. This will show your genuine interest and help you align your answers with their goals.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with training LLMs and setting up multi-GPU infrastructures. Bring examples of past projects where you've used modern optimisation libraries or tackled similar challenges. This is your chance to demonstrate your technical depth and how it fits with Overmind's needs.
✨Emphasise Your Founding Engineer Mindset
Highlight your ability to work in ambiguous environments and make pragmatic decisions. Share stories from your previous experiences where you built something from scratch or iterated on a project. This will resonate well with the founding team, as they value autonomy and a proactive approach.
✨Prepare Thoughtful Questions
Craft questions that reflect your understanding of the role and the company’s vision. Ask about their approach to AI safety and how they envision the future of AI security. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.
