Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and deploy innovative AI applications, collaborating with teams to maximise impact.
- Company: Join Google DeepMind, a leader in advancing artificial intelligence for public benefit.
- Benefits: Enjoy flexible work options, cutting-edge technology, and a culture of innovation.
- Why this job: Be at the forefront of AI, translating research into real-world solutions that matter.
- Qualifications: Bachelor’s degree or equivalent, 2 years software development experience, and knowledge of GenAI concepts.
- Other info: Diversity is valued; we encourage applicants from all backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Forward Deployment Engineer, Applied AI to develop and deploy novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google & top Google customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models. We are looking for engineers with a strong track record of building and shipping software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production. The ideal candidate will be motivated by the opportunity to drive product & business impact.
About us
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
The role
This role requires a strong software engineering foundation and a passion for building and iterating on software products. We are looking for engineers who thrive in fast-paced environments and have a proven ability to deliver high-quality code. Experience in prototyping, building, and scaling software is essential. We particularly value experience in early-stage or startup environments, where engineers take ownership and drive product development from the ground up.
Key responsibilities
- Design and develop scalable software applications leveraging generative AI models.
- Rapidly prototype new features and iterate based on evaluation results.
- Collaborate with researchers and product managers to translate research advancements into tangible product features.
- Optimize software performance and ensure reliability of deployed applications.
- Contribute to the development of best practices for building and deploying generative AI applications.
About you
In order to set you up for success as a Forward Deployment Engineer at Google DeepMind, we look for the following skills and experience:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience with data structures or algorithms.
- 1 year of experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- Proven experience in rapidly developing and shipping software products.
- Deep understanding of software development best practices, including testing & deployment.
- Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
- Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.
- Ability to work in a fast-paced environment and adapt to changing priorities.
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Apply for this job
*
indicates a required field
First Name *
Last Name *
Email *
Phone
Resume/CV *
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
LinkedIn Profile
Link to external profile e.g. LinkedIn, GitHub etc.
#J-18808-Ljbffr
Forward Deployment Engineer, Applied AI employer: Google DeepMind
Contact Detail:
Google DeepMind Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployment Engineer, Applied AI
✨Tip Number 1
Familiarise yourself with Google's generative AI models and their applications. Understanding how these models work and their potential use cases will help you demonstrate your knowledge during interviews and discussions.
✨Tip Number 2
Showcase your experience in early-stage environments by preparing specific examples of projects where you contributed to product development from concept to production. This will highlight your ability to thrive in fast-paced settings.
✨Tip Number 3
Network with professionals in the AI and software engineering fields, especially those who have worked at Google or similar companies. Engaging with them can provide insights into the company culture and expectations for the role.
✨Tip Number 4
Prepare to discuss your experience with machine learning frameworks like TensorFlow or PyTorch. Be ready to explain how you've used these tools in past projects, as this will be crucial for demonstrating your technical expertise.
We think you need these skills to ace Forward Deployment Engineer, Applied AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software development, particularly in generative AI and cloud computing. Emphasise any projects where you've built or scaled software products, especially in early-stage environments.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with the role. Mention specific experiences that demonstrate your ability to rapidly develop and deploy software, and how you can contribute to Google DeepMind's mission.
Showcase Relevant Projects: If applicable, include links to your GitHub or other repositories showcasing projects related to generative AI, machine learning frameworks, or cloud platforms. This will provide tangible evidence of your skills and experience.
Highlight Collaboration Skills: Since the role involves working with researchers and product managers, emphasise your teamwork and collaboration experiences. Provide examples of how you've successfully worked in cross-functional teams to deliver impactful solutions.
How to prepare for a job interview at Google DeepMind
✨Showcase Your Software Development Skills
Be prepared to discuss your experience with software development in detail. Highlight specific projects where you built and shipped software, especially in early-stage environments. This will demonstrate your ability to take ownership and drive product development.
✨Understand Generative AI Concepts
Familiarise yourself with core generative AI concepts such as LLMs, multi-modal models, and large vision models. Be ready to explain how you've applied these concepts in your previous work, as this role heavily focuses on leveraging generative AI models.
✨Prepare for Technical Questions
Expect technical questions related to data structures, algorithms, and machine learning infrastructure. Brush up on your knowledge of testing, deployment, and optimisation techniques, as these are crucial for the role.
✨Demonstrate Collaboration Skills
Since the role involves working closely with researchers and product managers, be ready to share examples of how you've successfully collaborated in past projects. Emphasise your ability to translate research into practical applications, showcasing your teamwork and communication skills.
