At a Glance
- Tasks: Lead groundbreaking research in AI code generation and build trust in high-stakes computing.
- Company: Join a pioneering team from PyTorch, FAIR, and NYU in London or New York.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on impactful projects.
- Why this job: Be at the forefront of AI innovation and shape the future of coding.
- Qualifications: Strong background in AI research and coding languages.
The predicted salary is between 80000 - 100000 £ per year.
London or New York, partially on-site. AI will write most of the world's code. The interesting bottleneck is no longer whether a model can produce code; it is whether anyone should trust it. We are building the trust stack for AI code generation, targeted at high-stakes computing where wrong numbers cost real money.
A statically typed language designed for coding models. A compiler whose guarantees double as audit-grade trust infrastructure. A coding model fine-tuned on the language, with the compiler emitting the continuous fitness signal that becomes its training reward. Language and model are co-designed.
We are a small team out of PyTorch, FAIR, NYU.
Founding Researcher employer: C Proof
As a Founding Researcher at our innovative AI company, you will be part of a dynamic team dedicated to building trust in AI code generation, with the unique opportunity to work in either London or New York. We foster a collaborative and inclusive work culture that prioritises employee growth through continuous learning and development, while also offering the flexibility of a partially on-site role. Join us to contribute to groundbreaking technology that has the potential to redefine high-stakes computing and make a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Researcher
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and coding communities, especially those who are already in high-stakes computing. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects related to AI code generation, make sure to highlight them. We love seeing what you can do beyond the usual application.
✨Tip Number 3
Prepare for the interview by diving deep into our tech stack. Understand the challenges of trust in AI code generation and come armed with ideas on how to tackle them. We want to see your passion and insight!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team.
We think you need these skills to ace Founding Researcher
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for AI and coding shine through. We want to see that you’re genuinely excited about building trust in AI code generation and how your background aligns with our mission.
Tailor Your CV:Make sure your CV is tailored to the role of Founding Researcher. Highlight relevant experiences and skills that demonstrate your expertise in high-stakes computing and coding models. We love seeing how your unique journey fits into our vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for our team. Be specific about what excites you about this role and how you can contribute to our innovative projects. Keep it engaging and personal!
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 don’t miss out on any important details about the role. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at C Proof
✨Understand the Trust Stack
Make sure you grasp the concept of the trust stack for AI code generation. Familiarise yourself with how it applies to high-stakes computing and be ready to discuss why trust is crucial in this context. This will show your potential employer that you’re not just interested in coding, but also in the implications of the technology.
✨Showcase Your Knowledge of Statically Typed Languages
Since the role involves a statically typed language, brush up on your knowledge of these languages and their benefits. Be prepared to explain how they can enhance trust in AI-generated code. This will demonstrate your technical expertise and your ability to contribute to the team’s goals.
✨Prepare for Technical Questions
Expect technical questions related to compilers and AI models. Review key concepts and be ready to solve problems on the spot. Practising coding challenges or discussing past projects can help you articulate your thought process clearly during the interview.
✨Emphasise Team Collaboration
As part of a small team, collaboration is key. Be ready to share examples of how you've worked effectively in teams before, especially in high-pressure situations. Highlighting your ability to communicate and collaborate will resonate well with the interviewers.
