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- Tasks: Design and implement advanced ML architectures for large-scale datasets in a collaborative environment.
- Company: EIT Oxford, a pioneering institute focused on impactful science and technology solutions.
- Benefits: Competitive salary, innovative work culture, and opportunities for professional growth.
- Why this job: Join a team tackling global challenges with cutting-edge AI technology and research.
- Qualifications: Advanced degree in relevant fields and hands-on experience with ML and GPU computing.
- Other info: Be part of a dynamic community dedicated to sustainable innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Overview
The Ellison Institute of Technology (EIT) Oxford’s purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to humanity’s most challenging problems.
EIT Oxford will ensure scientific discoveries and pioneering science are turned into products for the benefit of society that can have high-impact worldwide and, over time, be commercialised to ensure long-term sustainability.
Led by a faculty of world experts, EIT Oxford seeks to solve the world’s most challenging problems across four high-risk, high-reward, high-impact humane endeavours: health and medical science; food security and sustainable agriculture; climate change and clean energy; and government innovation in an era of artificial intelligence.
EIT Oxford is investing significant resources in a new world-class research and development facility in the Oxford Science Park. Set for completion in 2027, the state-of-the-art campus includes 300,000 sq ft of research laboratories, an oncology and preventative care clinic, and educational and meeting spaces. Together, they create the perfect environment for EIT Oxford experts to take ground-breaking ideas from research to broad implementation. The new facility will further EIT’s current partnership with the University of Oxford and become the new home for Ellison Scholars.
EIT Oxford is committed to cultivating a community where excellence is achieved through collaboration, trust, innovation and tenacity. We foster an environment where everyone’s experience and expertise are valued. We are curious and resilient in our efforts to drive long-term, sustainable innovation to meet humanity’s most enduring challenges.
Job summary
We are looking for Research Engineers who will work with large scale datasets from different modalities, including biomolecular data, such as proteins and DNA, 2D and 3D images or graph-structured data. You will design and implement advanced ML architectures and workflows encompassing multimodal generative models and physics-based modelling.
Responsibilities
- Design and implement advanced ML architectures
- Develop robust model evaluation pipelines
- Optimize model architectures for performance and reliability
- Drive best practices in code quality, reproducibility, and collaboration
- Build and maintain large-scale ML systems that process biomolecule datasets
- Work with domain specialists to incorporate wet lab data and HPC simulations
- Help to build and maintain large-scale generative models of molecular data
Qualifications
- Advanced degree in Computer Science, Physics, Chemistry, or Materials Science with a strong ML focus
- Hands-on experience in GPU-based computing, HPC integrations, and distributed system architectures
- Proficiency with deep learning frameworks (e.g. PyTorch) and scientific software (e.g., molecular simulation)
- Strong understanding of data modeling and pipeline optimization for large-scale experiments
- Ability to collaborate effectively with multidisciplinary teams and communicate complex concepts clearly
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Research Engineer - AI employer: Ellison Institute, LLC
Contact Detail:
Ellison Institute, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer - AI
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and research engineering fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML architectures or large-scale datasets. This is your chance to demonstrate your hands-on experience with deep learning frameworks like PyTorch. We want to see what you can do!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of data modelling. Practice common ML problems and be ready to discuss your past projects in detail. We’re looking for candidates who can communicate complex concepts clearly, so practice explaining your work!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission at EIT Oxford. Don’t miss out on the chance to be part of something big!
We think you need these skills to ace Research Engineer - AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Engineer role. Highlight your experience with large-scale datasets, ML architectures, and any relevant projects that showcase your skills in GPU-based computing and deep learning frameworks.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the work we do at EIT Oxford and how your background aligns with our mission to tackle humanity's challenges through innovative technology.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical skills! Be specific about your hands-on experience with tools like PyTorch and any HPC integrations you've worked on. We want to see how you can contribute to our cutting-edge research.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Ellison Institute, LLC
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning architectures and the specific technologies mentioned in the job description, like PyTorch and GPU-based computing. Being able to discuss your hands-on experience with these tools will show that you're not just familiar with the theory but can apply it practically.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving large-scale datasets or generative models. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your problem-solving skills and your ability to work with complex data.
✨Collaboration is Key
Since the role involves working with multidisciplinary teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve made complex concepts accessible to team members from different backgrounds. This will show that you can thrive in EIT Oxford's collaborative environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about the research projects at EIT Oxford or the new facility being built. This shows your genuine interest in their work and helps you understand how you can contribute to their mission. Plus, it gives you a chance to engage with the interviewers on a deeper level.
