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- Tasks: Drive innovation in generative AI and execute ML experiments.
- Company: Leading tech company in London with a focus on cutting-edge technology.
- Benefits: Competitive salary, career growth opportunities, and a positive team culture.
- Why this job: Join a dynamic team and make an impact in the world of AI.
- Qualifications: Extensive software development experience and knowledge of ML infrastructure.
- Other info: Collaborative environment with a focus on practical solutions.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology company in London is seeking a Staff Software Engineer to drive innovation in generative AI and machine learning. This role requires extensive experience in software development and ML infrastructure. The ideal candidate will collaborate with engineering teams to create practical solutions and contribute to positive team culture.
Responsibilities include:
- Executing ML experiments
- Developing code
- Ensuring alignment with Cloud customer needs
Competitive salary package and opportunities for career growth are offered.
Staff AI Engineer — Generative AI & Innovation Lab employer: Google Inc.
Contact Detail:
Google Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff AI Engineer — Generative AI & Innovation Lab
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, 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 related to generative AI and machine learning. 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 skills and understanding the latest trends in AI. Practice common interview questions and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Staff AI Engineer — Generative AI & Innovation Lab
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software development and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about generative AI and how you can contribute to our innovation lab. Keep it engaging and personal – we love to see your personality come through.
Showcase Collaboration Skills: Since this role involves working closely with engineering teams, highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork, so let us know how you contribute to a positive team culture!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our amazing team at StudySmarter!
How to prepare for a job interview at Google Inc.
✨Know Your Generative AI Inside Out
Make sure you brush up on the latest trends and technologies in generative AI. Be prepared to discuss your previous projects and how they relate to the role. This shows that you're not just familiar with the concepts but can also apply them practically.
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineering teams, be ready to share examples of how you've successfully collaborated in the past. Highlight any experiences where you contributed to a positive team culture or resolved conflicts effectively.
✨Prepare for Technical Questions
Expect to face some technical questions related to software development and ML infrastructure. Brush up on your coding skills and be ready to solve problems on the spot. Practising common algorithms and data structures can give you an edge.
✨Align with Customer Needs
Understand the importance of aligning your work with customer needs, especially in a cloud environment. Be prepared to discuss how you've previously ensured that your projects met user requirements and how you plan to do so in this role.
