At a Glance
- Tasks: Research and develop cutting-edge AI models and architectures for real-world applications.
- Company: Join HASH, a pioneering tech company with a mission to revolutionise decision-making.
- Benefits: Competitive salary, equity options, learning budgets, and quarterly team retreats.
- Other info: Collaborate with industry leaders and contribute to groundbreaking research.
- Why this job: Be part of a fast-growing team shaping the future of AI in Europe.
- Qualifications: Strong background in machine learning and hands-on experience with large models.
The predicted salary is between 130000 - 220000 £ per year.
About HASH
At HASH, we're building infrastructure to solve information failure and help everybody make the right decisions. Our open-source platform helps firms integrate both structured and unstructured information into knowledge graphs that support simulating, optimizing and automating processes. We’re building toward world models from a radically different perspective to most industry labs. If you want to work on ambitious, original research with the chance to influence both scientific direction and the company itself, we’d love to hear from you.
About the role
In the last 6 months we've seen significant growth and are now scaling fast. We're hiring exceptional AI researchers in London and Berlin to shape the next generation of foundation models in Europe, both developing new AI models and architectures in-house and post-training existing open-source base models. This is not a role focused only on applying existing models. You’ll work on both: developing new model architectures in-house in support of deterministic simulation, and post-training and adapting state-of-the-art open-source base models.
Requirements
- Strong research track record in machine learning, deep learning, or foundation models: evidenced by research publications, open-source contributions, or other evidence of original technical work
- Deep understanding of modern model architectures, training dynamics, inference optimization, scaling, and evaluation: transformer, diffusion, and exotic model architectures, sequence modeling, multimodal learning, and generative modeling
- Hands-on experience training, fine-tuning, or post-training large models: in particular preference optimization, synthetic data, distillation, continual learning, or alignment
- Strong coding and experimental skills: ideally in Python (and/or Rust) and modern ML tooling
- Ability to move fluidly between research ideas and practical implementation: comfort quickly moving from concept to early-proof right through to release and productization
- High agency, strong taste, and excitement about building something category-defining from Europe: we're looking for researchers who are all-in
What you'll work on
- Research and develop novel model architectures for reasoning, representation learning, and world modeling
- Post-train and adapt open-source foundation models for high-performance real-world use cases
- Design, run, and analyze experiments across training, evaluation, and scaling
- Work across data, systems, and product to turn research into deployed capability
- Contribute to research direction, technical strategy, and long-term model roadmap
- Help define the culture and standards of a high-talent, research-driven founding team
Why HASH
- Work on first-principles AI research tied to a large and important real-world mission
- Join at a moment of rapid growth, with outsized scope and influence
- Help build a leading frontier AI lab in Europe with global ambition
- Work alongside founders who have previously built and exited businesses worth billions of dollars
- Be part of a team that moves fast, is enthusiastically open source, and is in it for the long-term
Benefits
Our team have founded and sold billion-euro companies from scratch. We offer leading equity-weighted total compensation, including competitive salaries and tax-advantaged options. We meet together quarterly in-person for whole-team retreats, provide engineers with generous learning and tech budgets, and recognise and reward output. This role pays £130,000-£220,000 base/bonus + meaningful equity.
AI Research Engineer Engineering London employer: HASH
HASH is an exceptional employer that fosters a dynamic and innovative work culture, where employees are empowered to take ownership of their roles and contribute directly to the company's strategic direction. With a strong focus on personal and professional growth, HASH offers competitive compensation packages, including performance-based bonuses and equity, alongside opportunities to tackle complex challenges in a collaborative environment. Located in vibrant cities like London and Berlin, employees benefit from a stimulating atmosphere that encourages creativity and forward-thinking.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Engineer Engineering London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at HASH or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to HASH.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like HASH.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like HASH that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Research Engineer Engineering London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at HASH.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at HASH and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at HASH
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If HASH uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.