Google

Runs Search and YouTube and builds Gemini AI

Software Engineer - Bioresilience

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

A bachelor's degree or equivalent practical experience is required.
Eight years of experience in software development is required.
Experience applying deep learning models to biological data, such as functional genomics or protein sequence data.
Experience working with life science data, such as in bioinformatics or health informatics.
Ability to identify, break down, and solve ambiguous and complex process and technical problems spanning many teams and organizations.

Responsibilities

Partner closely with product leadership, external parties such as biosecurity organizations, research institutes, and public health authorities, and internal cross-functional teams to navigate ambiguity, understand real-world biological defense challenges, and define clear product requirements and software architecture.
Build robust data pipelines for complex biological datasets, implement scalable evaluation frameworks, and optimize model inference and serving infrastructure for production use.
Contribute extensively to the engineering and development of novel solutions from 0 to 1, using internal platforms and tools to build reliable production applications, agents, and workflows powered by GDM foundation models.
Translate experimental research prototypes into maintainable software, sharing deployment telemetry, system performance constraints, and edge cases with core research teams to inform future model development.
Set software engineering best practices for applied generative AI systems, focusing on testing, system reliability, security, and maintainability across deployed tools.

Partner closely with product leadership, external parties (e.g., biosecurity organizations, research institutes, public health authorities) and internal cross-functional teams to navigate ambiguity, deeply understand real-world biological defense challenges, and define clear product requirements and software architecture.
Build robust data pipelines for complex biological datasets, implement scalable evaluation frameworks, and optimize model inference and serving infrastructure for production use.
Contribute extensively to the engineering and development of novel solutions from 0 to 1, utilizing internal platforms and tools to build reliable production applications, agents, and workflows powered by GDM foundation models.
Translate experimental research prototypes into maintainable software, sharing deployment telemetry, system performance constraints, and edge cases with core research teams to inform future model development.
Set software engineering best practices for applied GenAI systems, focusing on testing, system reliability, security, and maintainability across deployed tools.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.

Preferred qualifications:

Experience applying deep learning models to biological data (such as functional genomics or protein sequence data).
Experience working with life science data, such as in bioinformatics or health informatics.
Ability to identify, break down, and solve ambiguous and complex process and technical problems that span across many teams and organizations.

Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer varied learning opportunities and career pathways for those driven to achieve exceptional results through collective effort.

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1998

Recently Posted Jobs

Explore more opportunities at Google

See more jobs