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- Tasks: Develop and optimise cutting-edge AI models while designing innovative experiments.
- Company: Leading AI company in London with a focus on innovation.
- Benefits: Competitive salary, equity, and professional growth opportunities.
- Why this job: Join the forefront of AI innovation and make a real impact.
- Qualifications: Strong proficiency in PyTorch and software engineering skills.
- Other info: Collaborative environment with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
An innovative AI company in London seeks experienced Research Engineers to develop and optimize AI models. You will be at the forefront of AI innovation, focusing on training large-scale generative models and designing experiments to enhance capabilities.
The role offers a competitive salary and equity, alongside opportunities for professional growth in a collaborative environment.
A strong proficiency in PyTorch and software engineering skills are essential for success in this position.
Generative AI Research Engineer in London employer: Recraft
Contact Detail:
Recraft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Research Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving PyTorch and generative models. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Generative AI Research Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with PyTorch and any relevant software engineering skills. We want to see how you can contribute to our innovative projects, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for the Generative AI Research Engineer role. We love seeing how your unique experiences align with our mission and the specific requirements of the job.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your passion for AI and your qualifications shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our collaborative environment.
How to prepare for a job interview at Recraft
✨Know Your AI Models
Make sure you brush up on the latest advancements in generative AI models. Be prepared to discuss your experience with training large-scale models and any specific projects you've worked on. This shows your passion and expertise in the field.
✨Showcase Your PyTorch Skills
Since proficiency in PyTorch is essential, be ready to demonstrate your coding skills. You might be asked to solve a problem or optimise a model during the interview, so practice coding challenges related to AI and machine learning beforehand.
✨Prepare for Experiment Design Questions
Expect questions about designing experiments to enhance AI capabilities. Think of examples from your past work where you successfully designed and executed experiments. Highlight your analytical thinking and how you approached problem-solving.
✨Emphasise Collaboration
This role is in a collaborative environment, so be prepared to discuss how you work with others. Share examples of teamwork in your previous roles, focusing on how you contributed to group projects and learned from your peers.