Founding Researcher

Founding Researcher

Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
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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: Burnin

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.
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Contact Detail:

Burnin Recruiting Team

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. You never know who might have a lead on a role or can give you insider info about the company.

✨Tip Number 2

Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. We want to see how you tackle real-world problems, especially in trust and AI code generation.

✨Tip Number 3

Prepare for the interview by diving deep into our tech stack. Understand the nuances of statically typed languages and how they relate to AI. We love candidates who can discuss these topics passionately and knowledgeably.

✨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 us you’re genuinely interested in being part of our team.

We think you need these skills to ace Founding Researcher

AI and Machine Learning
Trust and Safety in AI
Statically Typed Programming Languages
Compiler Design
High-Stakes Computing
Code Generation
Model Training and Fine-Tuning
Audit-Grade Infrastructure
Collaboration in Small Teams
Experience with PyTorch
Research Skills
Analytical Thinking
Problem-Solving Skills

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.

Tailor Your Application: Make sure to customise your application to highlight your relevant experience and skills. We love seeing how your background aligns with our mission of creating a reliable trust stack for AI.

Be Clear and Concise: Keep your writing clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications without unnecessary fluff.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role.

How to prepare for a job interview at Burnin

✨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 AI in real-world scenarios.

✨Showcase Your Technical Skills

Prepare to demonstrate your expertise in statically typed languages and compilers. Bring examples of your past work or projects that highlight your ability to create reliable code. Being able to articulate your thought process behind coding decisions will impress the interviewers.

✨Collaborative Mindset

Since this role involves working within a small team, emphasise your ability to collaborate effectively. Share experiences where you’ve worked closely with others, especially in research or development settings. Highlight how you can contribute to a co-designed language and model.

✨Ask Insightful Questions

Prepare thoughtful questions about the company’s vision and the specific challenges they face in building their trust stack. This not only shows your genuine interest but also gives you a chance to assess if the company aligns with your values and career goals.

Founding Researcher
Burnin
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