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 make a global impact.
- Why this job: Be part of a talent-dense team shaping the future of software engineering.
- Qualifications: Expertise in machine learning or formal methods, with a passion for learning.
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 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 be part of groundbreaking research while enjoying comprehensive benefits that support their well-being and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff - UK Talent Pool
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨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 or formal methods, so make it shine!
✨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 pressure.
✨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, we love hearing from passionate candidates eager to join our talent-dense team.
We think you need these skills to ace Member of Technical Staff - UK Talent Pool
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for machine learning and formal methods shine through. We want to see that you’re genuinely excited about the work we do and how you can contribute to our mission.
Tailor Your CV:Make sure your CV is tailored to highlight your relevant experience and skills. Focus on your domain expertise and any projects that showcase your ability to run machine learning experiments or work with large language models. We love seeing specific examples!
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s necessary, and make sure to explain your experiences in a way that anyone can understand.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. 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 experience running machine learning experiments and any relevant projects you've worked on. This is your chance to show off your skills!
✨Show Your Curiosity
Since the role involves learning new things, demonstrate your willingness to dive into unfamiliar territory. Talk about how you've approached learning new technical subjects in the past and express your excitement about expanding your knowledge in areas like specification-aware programming or AI-assisted coding.
✨Get Technical
Be prepared to discuss software engineering best practices, including advanced git workflows and testing. If you have experience with MLOps tools or multi-GPU clusters, make sure to highlight that. The interviewers will appreciate your technical depth!
✨Cultural Fit Matters
Research the company culture and values. Since they’re building a compact, talent-dense team, show that you’re not just a great technical fit but also someone who can contribute positively to the team dynamic. Share examples of how you've collaborated effectively in the past.
