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- 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.
- Why this job: Be at the forefront of AI technology, driving real-world impact and innovation.
- Qualifications: 8 years in software development and 5 years in AI research required; startup experience preferred.
- Other info: We value diverse perspectives and are committed to equal employment opportunities.
The predicted salary is between 43200 - 72000 £ per year.
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Join to apply for the Senior Applied AI Engineer role at Google DeepMind
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Snapshot
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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Senior Applied AI Engineer employer: Google DeepMind
Contact Detail:
Google DeepMind Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AI Engineer
✨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 shipping AI-powered software by preparing specific examples of projects you've worked on. Be ready to discuss the challenges you faced and how you overcame them, especially in fast-paced environments.
✨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 your application process.
✨Tip Number 4
Stay updated on the latest trends and advancements in AI research, particularly in generative AI. Being knowledgeable about current developments will not only enhance your conversations but also demonstrate your passion for the field.
We think you need these skills to ace Senior Applied AI Engineer
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, software architecture, and deployment strategies. 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 Google DeepMind
✨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 face technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and concisely, particularly when it comes to building and scaling software solutions.
✨Familiarise Yourself with Google’s Technologies
Research Google’s generative AI models and cloud computing platforms. Understanding their tools and frameworks, like TensorFlow and PyTorch, will show your enthusiasm and readiness to contribute effectively from day one.
✨Emphasise Collaboration Experience
Since the role involves working with researchers and product managers, be ready to share examples of how you've collaborated in previous roles. Highlight your ability to translate complex research into practical applications and features.
