At a Glance
- Tasks: Work on high-impact AI projects and develop innovative hardware solutions.
- Company: Join Orbital, a leading AI-first industrial company shaping the future.
- Benefits: Gain hands-on experience, mentorship, and contribute to meaningful projects.
- Other info: Diverse and inclusive environment with opportunities for personal and professional growth.
- Why this job: Be at the forefront of AI research and make a tangible impact on the world.
- Qualifications: Strong maths, programming skills, and a passion for technology; no prior AI experience needed.
The predicted salary is between 70000 - 90000 £ per year.
Orbital is an AI-first industrial company building hardware from the atoms up. Our goal is to lead an industrial renaissance to advance critical technologies and secure our planet for generations to come. We’re starting with critical hardware for AI data centers to make them more performant and sustainable. Every Orbital product is invented with our AI platform — uniting AI-automated hardware engineering with AI-designed material science to achieve breakthrough real-world performance.
We have an ambitious mission and need excellent people in all our teams - AI research, operations, advanced materials, mechanical engineering, chemical engineering and manufacturing. Working at Orbital means working in tightly integrated, vertically integrated teams. We’re looking for people who have a love of physical technology, curiosity in AI and a desire to learn.
The AI Residency program is an 18 month program targeting people with exceptional technical backgrounds but no professional or PhD experience in AI. This program is suitable for recent graduates in technical disciplines. As part of this program you will work on high impact AI projects at Orbital. Some example projects include:
- Reinforcement Learning with Verifiable Rewards (RLVR), post-training for engineering and materials discovery tasks
- Building evolutionary systems that compose LLMs at test-time to solve scientific problems
- Distributed training of large scale simulation/generative models of 3D systems
This is a unique opportunity because:
- Orbital is a world leading research lab in AI for industrial engineering and materials discovery. You will work at the cutting edge of research in LLMs and AI more broadly applied to sciences.
- Orbital is committed to open science. We publish and release the details of our work. This gives people who work for us an ability to build a profile in machine learning.
- Orbital is committed to open source. You will get an opportunity to have concrete demonstrations of the excellence of your software engineering and other work.
- Orbital is building technologies that have a physical, positive impact on the world. We build physical technologies. You can feel and touch the outcome of your work, and see these products make a difference in the world.
What We’re Looking For:
- Strong mathematics and statistical knowledge, especially linear algebra
- Strong algorithms and data structures knowledge
- Strong programming skills and familiarity with high performance computing concepts
- Examples of outstanding technical achievements
- There is no requirement to have worked in AI or machine learning before
Upon reading Hamming's You and Your Research, you resonate with quotes such as:
- "Yes, I would like to do first-class work"
- "You should do your job in such a fashion that others can build on top of it, so they will indeed say, 'Yes, I've stood on so and so's shoulders and I saw further.'"
- "Instead of attacking isolated problems, I made the resolution that I would never again solve an isolated problem except as characteristic of a class"
Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
AI Residency Programme in London employer: Orbital
At Orbital, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our Strategic Customer Success Lead role offers not only competitive benefits but also ample opportunities for professional growth and development in the dynamic field of global B2B payments. Located in a vibrant area, our team enjoys a supportive environment where creativity and strategic thinking are encouraged, making it a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land AI Residency Programme in London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace AI Residency Programme in London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Orbital will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Orbital
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Orbital.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Orbital that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
