At a Glance
- Tasks: Lead the development of innovative AI applications and collaborate with teams to maximise impact.
- Company: Join Google DeepMind, a leader in advancing artificial intelligence for public benefit.
- Benefits: Enjoy a dynamic work environment, opportunities for growth, and a commitment to diversity.
- Other info: Open to diverse backgrounds; we value unique perspectives and experiences.
- Why this job: Be at the forefront of AI technology, driving real-world impact and innovation.
- Qualifications: 8 years in software development, 5 years in AI research, and strong coding skills required.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking a Senior Applied AI Engineer to lead the development and deployment of 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 AI-powered 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 machine learning foundation and a passion for building and iterating on software products. We are looking for machine learning 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
- Harness frontier models to drive real-world high-impact outcomes
- Build evaluations, training data, and infrastructure to support AI deployments and rapid iterations
- Collaborate with researchers and product managers to translate research advancements into tangible product features.
- Contribute to the development of best practices for building and deploying generative AI applications.
- Contribute signal to influence the development of frontier models
- Lead the architecture and development of new products & features from 0 to 1.
About you
In order to set you up for success as an Applied AI Engineer at Google DeepMind, we look for the following skills and experience:
Required Skills
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development, and with data structures/algorithms.
- 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment
- 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.
Preferred Skills
- Experience with generative AI research or applications.
- Contributions to open-source projects.
- Experience working in, or founding early stage startups.
- Experience delivering software solutions in a fast-paced, customer-facing environment.
If you are a passionate machine learning engineer with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!
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.
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#J-18808-LjbffrSenior Applied AI Engineer Engineering London, UK employer: DeepMind Technologies Limited
At Google DeepMind, we pride ourselves on being at the forefront of artificial intelligence innovation, offering a dynamic work environment in London that fosters collaboration and creativity. Our culture is built on diversity and inclusion, providing employees with ample opportunities for professional growth and development while working on impactful projects that benefit society. Join us to be part of a team that not only values cutting-edge technology but also prioritises ethical considerations in AI advancements.
Contact Details:
DeepMind Technologies Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applied AI Engineer Engineering London, UK
✨Tip Number 1
Familiarise yourself with Google's generative AI models and their applications. Understanding how these models work and their potential impact will help you articulate your ideas during discussions and interviews.
✨Tip Number 2
Showcase your experience in building and scaling AI-powered software, especially in early-stage environments. Be ready to discuss specific projects where you took ownership and drove product development from concept to production.
✨Tip Number 3
Network with professionals in the AI field, particularly those who have experience at Google or similar companies. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during the application process.
✨Tip Number 4
Prepare to discuss best practices for deploying generative AI applications. Being able to articulate your understanding of testing, deployment, and infrastructure will demonstrate your readiness for the role and your commitment to high-quality code.
We think you need these skills to ace Senior Applied AI Engineer Engineering London, UK
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in AI research and software development. Emphasise your hands-on experience with machine learning frameworks like TensorFlow or PyTorch, and any contributions to open-source projects.
Craft a Compelling Cover Letter:In your cover letter, express your passion for AI and how your background aligns with the role. Mention specific projects where you've built and shipped AI-powered software, and how you can contribute to Google DeepMind's mission.
Showcase Your Technical Skills:Include a section in your application that details your technical skills, particularly in cloud computing platforms and software development best practices. Highlight any experience with generative AI applications, as this is a key focus for the role.
Prepare for Technical Questions:Anticipate technical questions related to machine learning algorithms, data structures, and software deployment. Be ready to discuss your previous projects in detail, focusing on your problem-solving approach and the impact of your work.
How to prepare for a job interview at DeepMind Technologies Limited
✨Showcase Your AI Expertise
Be prepared to discuss your hands-on experience with AI research and applications. Highlight specific projects where you've successfully deployed models or developed AI-powered software, especially in fast-paced environments.
✨Demonstrate Problem-Solving Skills
Expect to tackle real-world problems during the interview. Practice explaining your thought process when approaching complex challenges, particularly how you would leverage generative AI models to create impactful solutions.
✨Familiarise Yourself with Google’s Technologies
Research Google Cloud Platform and other relevant technologies mentioned in the job description. Being knowledgeable about their tools and frameworks will show your enthusiasm and readiness to integrate into their ecosystem.
✨Prepare for Collaborative Scenarios
Since collaboration is key in this role, be ready to discuss how you've worked with cross-functional teams in the past. Share examples of how you translated research into product features and contributed to team success.
