At a Glance
- Tasks: Design and deploy custom AI solutions to solve real-world customer challenges.
- Company: Join Google, a leader in innovative technology and AI.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Collaborative environment with fast-paced projects and career advancement.
- Why this job: Be at the forefront of AI, making a real impact on customer success.
- Qualifications: 8 years in software development and expertise in machine learning.
The predicted salary is between 80000 - 120000 £ per year.
Advanced experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 8 years of experience testing and launching software products, and 3 years with software design and architecture.
- 8 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 8 years of experience with one or more of: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or related technical field.
- 8 years of experience with data structures and algorithms.
- 8 years of experience in a technical leadership role leading project teams and setting technical direction.
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 software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a Forward Deployed Developer (FDE), you will be at the forefront of applying Google's Generative AI to solve real-world issues for customers. You will act as a specialized software engineer 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 core product developing teams and customer needs, directly accelerating customer success and shaping the future of AI products.
The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search – Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0‑to‑1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting‑edge projects and shape the future of AI in a fast‑paced, collaborative, and impactful environment.
Responsibilities:
- Partner directly with customers to understand their business issues while designing, co‑developing, debugging, and deploying custom conversational AI agents and solutions to accelerate their time to value.
- Systematize insights from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices for organisation‑wide use.
- Act as a 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.
Senior Staff Forward Deployed Developer, Google Cloud Platform, Applied AI employer: Fitbit
Contact Detail:
Fitbit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Staff Forward Deployed Developer, Google Cloud Platform, Applied AI
✨Tip Number 1
Network like a pro! Reach out to current or former Google employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role at Google. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for those technical interviews! Brush up on your coding skills and be ready to tackle algorithm questions. Use platforms like LeetCode or HackerRank to practice. We want you to shine in those problem-solving sessions!
✨Tip Number 3
Showcase your projects! If you've worked on AI or ML projects, make sure to highlight them in your discussions. Talk about the impact they had and how they relate to the role you're applying for. We love seeing real-world applications of your skills!
✨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, it shows you’re serious about joining the team. Let’s get you that dream job!
We think you need these skills to ace Senior Staff Forward Deployed Developer, Google Cloud Platform, Applied AI
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 8+ years of experience in software development and ML design. We want to see how you've tackled ambiguous problems and influenced stakeholders in your previous roles.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences that align with the Senior Staff Forward Deployed Developer role. We love seeing how you connect your background to our needs.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and achievements without wading through fluff.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Fitbit
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in ML design and infrastructure. Be ready to discuss your experience with model deployment and debugging, as well as any specific projects you've worked on that relate to the job description.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled ambiguous problems in the past. Google loves engineers who can think on their feet, so be ready to explain your thought process and the outcomes of your decisions.
✨Understand Customer Needs
Since this role involves partnering with customers, think about how you've previously engaged with clients to understand their business issues. Be prepared to discuss how you can bridge the gap between technical solutions and customer success.
✨Demonstrate Leadership Qualities
Highlight your experience in leading project teams and setting technical direction. Share stories that showcase your ability to influence stakeholders and drive projects forward, as this is crucial for a Senior Staff Forward Deployed Developer.