Applied AI Engineer

Google DeepMind; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading AI research company in London is seeking an Applied AI Engineer to develop innovative applications leveraging generative AI models. The role requires strong software development skills, knowledge of AI concepts, and the ability to work in a rapidly changing environment. Ideal candidates are motivated to drive product and business impact through AI.

Qualifications

• 2 years of software development experience or 1 year with an advanced degree.
• Experience with core generative AI concepts.
• Ability to work in a fast-paced environment.

Responsibilities

• Design and develop scalable software applications leveraging generative AI models.
• Collaborate with researchers and product managers.
• Optimize software performance.

Skills

Software development

Machine learning concepts

Programming languages

Data structures and algorithms

Cloud computing

Education

Bachelor's degree or equivalent experience

Tools

Google Cloud Platform

TensorFlow

PyTorch

Job description

We are seeking an Applied AI Engineer 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 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

• 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 an Applied AI 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 Gen AI 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.

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