Software Engineer III, AI/ML, AI Data

Google; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Google London, UK is seeking a Share Software Engineer III with AI/ML focus to advance GenAI research, build scalable evaluation pipelines, and prototype techniques for analyzing model behavior.

Responsibilities include empirical investigations, benchmark design, and collaboration with researchers across Google DeepMind and AI Data to turn insights into robust infrastructure for frontier models.

Qualifications

• 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.
• 1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
• Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
• Experience in Generative AI.
• Experience in Python.

Responsibilities

• Research, experiment and prototype novel approaches for analyzing model behavior and failure patterns.
• Conduct targeted empirical investigations into model outputs, agent trajectories, and error patterns to inform benchmark design and improve evaluation trustworthiness.
• Implement, test, and refine benchmark suites evaluating complex agentic reasoning across code, math, and specialized domains, ensuring high discriminability and zero data contamination.
• Develop and maintain pipelines that transform benchmark/sandbox execution logs, agent traces, and runtime artifacts into high-fidelity evaluation datasets and training data.
• Partner closely with research scientists, senior engineers, and cross-functional teams to translate research insights into practical evaluation infrastructure.

Skills

GenAI techniques

Generative AI

Python

Education

Bachelor's degree

Job description

Share Software Engineer III, AI/ML, AI Data

Google London, UK

• 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.

1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).

Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).

Experience in Generative AI.

Experience in Python.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Skills and experience in data analysis.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Software Engineer (Research), you will help invent, prototype, and build next-generation techniques and pipelines for analyzing model behavior and evaluating complex reasoning. Set at the intersection of applied research and software engineering, you would involve in exploring new methods to assess model failure modes, prototyping novel evaluation tasks, and turning experimental insights into robust, scalable benchmarks and data flywheels. Working alongside researchers and engineers across Google DeepMind and AI Data, you would run empirical analyses, build programmatic verifiers, and help unlock better ways to measure frontier model capabilities across code, math, and specialized domains.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Research, experiment and prototype novel approaches for analyzing model behavior and failure patterns.
• Conduct targeted empirical investigations into model outputs, agent trajectories, and error patterns to inform benchmark design and improve evaluation trustworthiness.
• Implement, test, and refine benchmark suites evaluating complex agentic reasoning across code, math, and specialized domains, ensuring high discriminability and zero data contamination.
• Develop and maintain pipelines that transform benchmark/sandbox execution logs, agent traces, and runtime artifacts into high-fidelity evaluation datasets and training data.
• Partner closely with research scientists, senior engineers, and cross-functional teams to translate research insights into practical evaluation infrastructure.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.