At a Glance
- Tasks: Develop and optimise AI solutions for real-world customer challenges.
- Company: Join Google, a leader in innovative technology and AI.
- Benefits: Competitive salary, diverse work culture, and opportunities for growth.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience in software development, ML design, and problem-solving skills.
- Other info: Collaborate with top AI experts and work on transformative projects.
The predicted salary is between 43200 - 72000 £ per year.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
- 5 years of experience with ML design and ML infrastructure.
Preferred qualifications:
- Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- 5 years of experience with data structures and algorithms.
- 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
About the job:
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
As a Forward Deployed Developer (FDE), you will be at the forefront of applying Google's Generative AI to solve real-world issues for our customers. You will act as a specialized software developer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our Customer Engagement Suite (CES) platform. You will bridge the gap between our core product developing teams and customer needs, directly accelerating customer success and shaping the future of our AI products.
Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI.
Responsibilities:
- Partner directly with customers to understand their business issues.
- Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value.
- Systematize learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices across the organization.
- Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues.
- Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Senior Forward Deployed Developer, Cloud, Applied AI in London employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Forward Deployed Developer, Cloud, Applied AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We can’t stress enough how important it is to make connections; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Forward Deployed Developer, Cloud, Applied AI in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in software testing and launching products. We want to see how you've tackled challenges in ML design and infrastructure, so don’t hold back on those details!
Tailor Your Application: Customise your application to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who can connect their background directly to what we’re looking for in a Senior Forward Deployed Developer.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and qualifications shine through without unnecessary fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Google
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in areas like ML design and architecture. Be ready to discuss your experience with speech/audio technologies and reinforcement learning, as these are key for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous projects. Highlight your ability to debug and optimise AI solutions, as well as any bespoke coding you've done to meet customer needs.
✨Understand the Customer Perspective
Since this role involves partnering with customers, think about how you've previously engaged with clients to understand their business issues. Be ready to discuss how you can bridge the gap between technical solutions and customer success.
✨Be Versatile and Adaptable
Demonstrate your versatility by discussing experiences where you've switched teams or adapted to new challenges. This shows that you're not just a one-trick pony but someone who thrives in a fast-paced environment.