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- Tasks: Lead research on training AI models and innovate in the field of multimodal LLMs.
- Company: A leading tech firm in Greater London, shaping the future of AI.
- Benefits: Competitive salary, research opportunities, and a chance to publish in top-tier conferences.
- Why this job: Join us to revolutionise technology and enhance customer experiences with cutting-edge AI.
- Qualifications: PhD in a related field and expertise in transformer architectures and PyTorch.
- Other info: Dynamic environment with opportunities for impactful research and career growth.
The predicted salary is between 54000 - 84000 £ per year.
A leading technology firm in Greater London seeks Members of Technical Staff to lead research initiatives on training foundation models for enterprise agents. Candidates should possess deep knowledge of transformer architectures and expertise with PyTorch, along with a PhD in a related field.
This role involves both theoretical and practical components, focusing on innovation in AI and publishing findings in top-tier conferences. Join us to shape the future of AI at Salesforce as we revolutionize technology and customer experiences.
Senior AI Research Engineer – Multimodal LLMs employer: Salesforce, Inc.
Contact Detail:
Salesforce, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Research Engineer – Multimodal LLMs
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving transformer architectures and PyTorch. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on both theoretical concepts and practical applications of AI. Be ready to discuss your research and how it can contribute to innovation at companies like Salesforce. Practice makes perfect!
✨Tip Number 4
Don’t forget to 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 proactive about their job search.
We think you need these skills to ace Senior AI Research Engineer – Multimodal LLMs
Some tips for your application 🫡
Showcase Your Expertise: Make sure to highlight your deep knowledge of transformer architectures and your experience with PyTorch. We want to see how your skills align with the role, so don’t hold back on sharing relevant projects or research!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements mentioned in the job description. We love seeing candidates who take the time to connect their experiences directly to what we’re looking for.
Highlight Your Research Impact: Since this role involves publishing findings, be sure to mention any papers or conferences where you’ve shared your work. We’re keen on innovation, so let us know how your contributions have made a difference in the field!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Salesforce, Inc.
✨Know Your Transformers
Make sure you brush up on your knowledge of transformer architectures. Be ready to discuss their intricacies and how they apply to multimodal LLMs. We recommend preparing examples from your past work where you've successfully implemented these models.
✨Showcase Your PyTorch Skills
Since expertise in PyTorch is crucial, be prepared to demonstrate your coding skills. We suggest working through some common problems or projects you've tackled using PyTorch, as this will help you articulate your experience effectively during the interview.
✨Research and Publish
Familiarise yourself with recent publications in top-tier conferences related to AI and multimodal models. We encourage you to discuss your own research and how it aligns with the company's goals. This shows your commitment to innovation and keeps the conversation relevant.
✨Prepare for Theoretical and Practical Questions
Expect a mix of theoretical questions and practical problem-solving scenarios. We advise practising answers to common theoretical concepts in AI, as well as being ready to tackle real-world problems that may arise in the role. This balance will showcase your comprehensive understanding of the field.
