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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 employer: Recraft
Contact Detail:
Recraft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Research Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community, attend meetups, and connect with professionals 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 bring to the table.
✨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 experiences with AI models and experiments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Generative AI Research Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI models and software engineering. We want to see how your skills in PyTorch and other relevant technologies make you a great fit for the role.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about generative AI and how your background aligns with our mission. Keep it engaging and personal, so we can get to know you better.
Showcase Your Projects: If you've worked on any interesting AI projects, don’t hold back! Include links or descriptions of your work that demonstrate your expertise in training large-scale models and designing experiments.
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 in our innovative team!
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 explain your approach to optimising models using PyTorch. Practise coding challenges beforehand to boost your confidence.
✨Experiment Design Insights
Think about the experiments you've designed in the past. Be prepared to discuss your methodology, what you learned, and how you enhanced model capabilities. This will highlight your analytical skills and innovative thinking.
✨Collaborative Mindset
This role thrives in a collaborative environment, so be ready to share examples of how you've worked effectively in teams. Highlight your communication skills and how you contribute to a positive team dynamic, as this is key for success in their culture.