Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead groundbreaking research in machine learning to develop advanced materials for hardware solutions.
- Company: Join Orbital, a global leader in AI-driven hardware innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be part of a mission to revolutionise technology with AI and advanced materials.
- Qualifications: Strong background in machine learning and a passion for innovation.
- Other info: Collaborate with a diverse team across multiple global locations.
The predicted salary is between 36000 - 60000 £ per year.
Orbital’s hardware solutions solve the biggest challenges in data centers. Each of our products contains an advanced material discovered with our AI, giving it breakthrough real-world performance. We’re looking for ambitious thinkers and builders; those excited by the challenge of bridging AI and industry, chemistry and computation, discovery and deployment.
Our mission is to usher in an era where new, advanced materials are both discovered and engineered with AI and we’ll use this to build hardware that solve major global technology challenges. Joining Orbital means working at the intersection of deep tech, applied science, and engineering innovation. We are a truly global organisation with sites in London (UK), San Francisco (CA), and Princeton (NJ).
Staff Machine Learning Researcher employer: Orbital
Contact Detail:
Orbital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Researcher
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Orbital. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your passion for AI and materials science during interviews. Share your projects or experiences that align with Orbital's mission. We want to see your excitement and how you can contribute!
✨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning concepts and problem-solving skills. Practice coding challenges and be ready to discuss your thought process—it's all about how you approach problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our innovative team at Orbital.
We think you need these skills to ace Staff Machine Learning Researcher
Some tips for your application 🫡
Show Your Passion for AI and Innovation: When writing your application, let your enthusiasm for AI and its potential in solving real-world problems shine through. We want to see how you connect the dots between advanced materials and cutting-edge technology.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Staff Machine Learning Researcher role. Highlight relevant experiences and skills that align with our mission of bridging AI and industry, and don’t forget to mention any projects that showcase your innovative thinking.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your experiences and achievements. We appreciate a well-structured application that makes it easy for us to see why you’d be a great fit for our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Orbital
✨Know Your AI and Materials
Make sure you brush up on the latest advancements in AI and materials science. Orbital is looking for candidates who can bridge these fields, so be prepared to discuss how your expertise aligns with their mission of using AI to discover and engineer advanced materials.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experiences where you've tackled complex challenges, especially those related to data centres or hardware solutions. Highlight your thought process and how you approached these problems, as Orbital values ambitious thinkers who can innovate.
✨Understand Their Global Impact
Research Orbital’s projects and their impact on global technology challenges. Be ready to discuss how you see your role contributing to their mission and how you can help them achieve their goals in different markets, including London and San Francisco.
✨Ask Insightful Questions
Prepare thoughtful questions that show your genuine interest in Orbital's work and culture. Inquire about their current projects, team dynamics, or future directions in AI and material science. This not only demonstrates your enthusiasm but also helps you gauge if it's the right fit for you.