Software Engineer, AI Products

Snapshot

We are seeking a highly motivated and innovative Software Engineer to join us in rapidly exploring and implementing the state-of-the-art Gemini models across core Google products. You will work directly with engineering product and research teams in Google DeepMind to quickly ideate build and iterate on proof-of-concept integrations that leverage cutting-edge AI capabilities. This role is about moving fast to validate new ideas utilizing the latest advancements in multimodal large language models (vision audio text) to build functional tangible prototypes. You will need to be a flexible full-stack thinker capable of jumping between different parts of the stackfrom hacking together an agent harness for Gemini to quickly bringing up an end-to-end application demo for proving out product this role you will apply your broad engineering expertise to create the initial sparks that could eventually impact users globally.

About Us

Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were 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

As a Software Engineer at Google DeepMind you will be at the forefront of translating research into tangible product concepts. You will drive the rapid development of experimental Gemini-powered features pushing the boundaries of whats possible to create novel agentic services and zero-to-one engaging user experiences. Further you will be collaborating with multiple product surfaces across Google to bring to life some of these experiences.

About You

You are a passionate and talented software engineer with a versatile full-stack AI skillset and a proven ability to rapidly prototype and iterate on ideas. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious undefined challenges. You are passionate about seeing AI research translated into real-world product concepts and are eager to work in an environment where speed of experimentation is key to long-term impact. You are a flexible thinker who can creatively solve problems up and down the stack to get compelling demos and experiences working in product form factor.

• Bachelors/Masters/Ph.D. in Computer Science Artificial Intelligence or a related field.
• A minimum of 5 years of relevant professional experience. Experience with core software engineering and building highly available high-traffic production systems.
• Experience training deploying and operating large machine learning models (LLMs or similar) in a high-scale low-latency production environment. Solid understanding of distributed systems cloud computing principles and performance optimization.
• Proven track record in zero-to-one developmenttransforming raw ideas into rapid prototypes and full stack experience driving them through to full production.
• Strong programming skills in Python and C.
• Experience with relevant ML frameworks such as JAX TensorFlow or PyTorch particularly for inference and serving.
• Excellent communication and collaboration skills.

In addition the following would be an advantage:

• Full-stack engineering experience comfortable working with frontend frameworks (e.g. React Flutter or simple web UIs) to visualize ideas as well as backend services to power them.
• Strong track record in delivering features that leverage cutting-edge AI (e.g. LLMs multimodal models) to a large user base.
• Deep understanding of end to end system architecture and adapting to new technologies and modern design
• Significant prompt engineering experience deep understanding of evaluation strategies and familiarity with of pretraining post-training concepts
• Familiarity with multimodal data and processing pipelines (vision audio text).

The US base salary range for this full-time position is between $197000 - $291000 bonus equity benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: November 20 2025

Note: In the event your application is successful and an offer of employment is made to you any offer of employment will be conditional on the results of a background check performed by a third party acting on our behalf. For more information on how we handle your data please see our Applicant and Candidate Privacy Policy

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 opportunity 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.