At a Glance
- Tasks: Join a cutting-edge team developing superhuman programming AI and innovative training methods.
- Company: Reasonable, an applied research company at the forefront of AI development.
- Benefits: Competitive salary, equity options, flexible working, and comprehensive health benefits.
- Other info: Exciting opportunity to relocate to Budapest and work in a dynamic environment.
- Why this job: Be part of a revolutionary project that shapes the future of programming.
- Qualifications: Expertise in machine learning or formal methods; eagerness to learn and grow.
The predicted salary is between 60000 - 80000 £ per year.
Reasonable is an applied research company developing training paradigms for superhuman programming AI. We draw on domain expertise in machine learning, formal verification and mathematical models of program semantics to create open-ended training environments, pre-training datasets, and post-training methods that continue to challenge LLMs even as they develop deeply superhuman levels of understanding and skill in programming. We think when AI writes most code, it will ultimately enable new ways for computers to be programmed, using programming paradigms that are just too challenging for humans to use at scale, enabling optimisations that were previously too complex to attempt. We call these applications post-human software engineering.
We aim to create a compact, talent-dense technical team to develop the next generation of frontier training methods. We want to build in Europe, have impact in the Bay Area. Currently we prioritise applicants interested in relocating to Budapest. We plan to scout for talent in the London, UK and San Francisco, US areas in the near future — if you’re interested, please sign up.
Requirements
- Domain expertise in either machine learning or formal methods; interest in learning the other if expertise is in one of these.
- Fast learning of deep technical subjects.
- Experience running machine learning experiments, ideally at scale.
- Experience with post-training large language models.
- Knowledge of software engineering best practices (advanced git workflows, testing, containerization, code reviews, etc).
- Familiarity with MLOps tools, working models on multi-GPU clusters.
- An understanding of specification-aware programming (Dafny, Viper) and proof assistants (LEAN, Isabel).
- Experience using AI-assisted or AI-accelerated programming (Cursor or similar) and/or a willingness and ability to learn and grow in any of the above areas and beyond.
Benefits
- Competitive salary.
- Equity (through share option scheme).
- Flexible working patterns.
- Healthcare, childcare, fitness and other common benefits (we're figuring this out).
- Being there from the very early stages.
Member of Technical Staff - UK Talent Pool in London employer: Reasonable AI
Reasonable is an exceptional employer for those passionate about pushing the boundaries of AI and programming. With a focus on building a compact, talent-dense team in Budapest, we offer competitive salaries, equity options, and flexible working patterns, fostering a culture of innovation and collaboration. Employees have the unique opportunity to contribute to groundbreaking research while enjoying a supportive environment that prioritises personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff - UK Talent Pool in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. The more you engage, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and experiments. This is your chance to demonstrate your expertise in machine learning and programming to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and practising coding challenges. We recommend using platforms that simulate real interview scenarios to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talent ready to make an impact in Budapest and beyond.
We think you need these skills to ace Member of Technical Staff - UK Talent Pool in London
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for AI and programming shine through. We love seeing candidates who are genuinely excited about the work we do at StudySmarter, so don’t hold back!
Tailor Your CV:Make sure your CV is tailored to highlight your relevant experience in machine learning or formal methods. We want to see how your skills align with our mission, so be specific about your achievements and projects.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Avoid fluff and focus on what makes you a great fit for us!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Reasonable AI
✨Know Your Stuff
Make sure you brush up on your domain expertise, whether it's machine learning or formal methods. Be ready to discuss your past experiences running machine learning experiments and how you've tackled complex programming challenges.
✨Show Your Learning Mindset
Since the role values a willingness to learn, be prepared to talk about how you've adapted to new technologies or concepts in the past. Share specific examples of how you've expanded your skill set, especially if it involves MLOps tools or AI-assisted programming.
✨Familiarise with Their Work
Dive into Reasonable's projects and understand their approach to superhuman programming AI. This will not only help you answer questions more effectively but also show your genuine interest in their mission and how you can contribute.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your understanding of the role and the company’s goals. Inquire about their training paradigms or how they envision the future of post-human software engineering. This shows you're engaged and thinking critically about the position.
