At a Glance
- Tasks: Architect AI systems and develop cutting-edge models for drug discovery.
- Company: Leading biotech firm in London with a focus on innovation.
- Benefits: Significant equity, ownership opportunities, and competitive salary.
- Other info: Collaborative environment driving innovation alongside top scientists.
- Why this job: Join a pioneering team and make a real impact in drug development.
- Qualifications: 5+ years in ML system deployment and expertise in PyTorch.
The predicted salary is between 80000 - 100000 € per year.
A leading biotech firm in London is looking for a founding Principal Machine Learning Engineer to architect AI systems and work on cutting-edge models impacting drug development.
Candidates should have over 5 years of experience in ML system deployment, expertise in PyTorch, and a collaborative spirit to drive innovation alongside scientists.
This opportunity offers significant equity and ownership.
Founding Principal ML Engineer — Drug Discovery AI & Equity in London employer: Generative
Join a pioneering biotech firm in London that champions innovation and collaboration, offering a vibrant work culture where your contributions directly influence the future of drug discovery. With a strong focus on employee growth, you will have access to significant equity and ownership opportunities, making your role not just a job, but a meaningful investment in the future of healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Principal ML Engineer — Drug Discovery AI & Equity in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech and AI fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your projects! Create a portfolio that highlights your experience with ML system deployment and PyTorch. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and be ready to discuss your past projects in detail.
✨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 over other candidates. Plus, it’s super easy!
We think you need these skills to ace Founding Principal ML Engineer — Drug Discovery AI & Equity in London
Some tips for your application 🫡
Showcase Your Experience:Make sure to highlight your 5+ years of experience in ML system deployment. We want to see how you've tackled challenges and what innovative solutions you've brought to the table.
Demonstrate Your Technical Skills:Since expertise in PyTorch is a must, don’t hold back! Share specific projects or models you've worked on that showcase your skills. We love seeing real-world applications of your knowledge.
Emphasise Collaboration:This role is all about working with scientists and driving innovation together. Let us know about your collaborative experiences and how you’ve contributed to team success in past projects.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Generative
✨Know Your ML Stuff
Make sure you brush up on your machine learning knowledge, especially around system deployment and PyTorch. Be ready to discuss specific projects you've worked on and how you've tackled challenges in deploying ML systems.
✨Show Your Collaborative Side
Since this role involves working closely with scientists, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve driven innovation through teamwork.
✨Understand the Drug Discovery Process
Familiarise yourself with the drug discovery process and how AI can impact it. This will not only show your interest in the field but also help you articulate how your skills can contribute to their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for AI in drug discovery and their expectations for the role. This demonstrates your genuine interest and helps you assess if the company aligns with your career aspirations.
