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- Tasks: Develop next-gen molecular simulation methods and collaborate with scientists on real projects.
- Company: Cutting-edge AI company based in Cambridge with a focus on scientific discovery.
- Benefits: Competitive salary, equity package, and professional development opportunities.
- Why this job: Make a significant impact in science using advanced machine learning techniques.
- Qualifications: Strong coding skills, experience with GPU/TPU frameworks, and a PhD in relevant fields.
- Other info: Join a dynamic team at the forefront of AI and molecular simulation.
The predicted salary is between 42000 - 60000 £ per year.
A cutting-edge AI company in Cambridge seeks an Applied ML Researcher to develop next-generation molecular simulation methods crucial for scientific discovery. You will design and implement high-performance software, bridge molecular simulations with continuum models, and collaborate with scientists to ground methods in real project needs.
Candidates should have a strong background in coding, GPU/TPU frameworks, and a PhD in relevant fields. This role also offers competitive salary, equity package, and opportunities for professional development.
ML Researcher — Multiscale Molecular Simulation in Cambridge employer: CuspAI
Contact Detail:
CuspAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Researcher — Multiscale Molecular Simulation in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and molecular simulation fields on LinkedIn. A friendly message can open doors and lead to referrals that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding projects, especially those involving GPU/TPU frameworks. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your past research and how it relates to real-world applications in molecular simulations.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace ML Researcher — Multiscale Molecular Simulation in Cambridge
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding skills and experience with GPU/TPU frameworks in your application. We want to see how your background aligns with the cutting-edge work we do at StudySmarter!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect how your expertise in molecular simulation methods can contribute to our projects. We love seeing candidates who understand our needs.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and passion for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at CuspAI
✨Know Your Stuff
Make sure you brush up on your coding skills and the latest in GPU/TPU frameworks. Be ready to discuss your previous projects and how they relate to molecular simulations. This shows you’re not just a theoretical candidate but someone who can apply their knowledge practically.
✨Understand the Role
Dive deep into the job description and understand what the company is looking for. Familiarise yourself with multiscale molecular simulation methods and how they connect with continuum models. This will help you tailor your answers to show you’re the perfect fit for their needs.
✨Prepare for Collaboration Questions
Since this role involves working closely with scientists, be prepared to discuss your experience in collaborative environments. Think of examples where you’ve successfully bridged gaps between technical and non-technical teams, as this will highlight your ability to communicate effectively.
✨Show Your Passion for AI and Science
Let your enthusiasm for AI and scientific discovery shine through. Share your thoughts on the future of molecular simulations and how you see your work contributing to advancements in the field. This will demonstrate that you’re not just looking for a job, but are genuinely invested in the company’s mission.
