Sundayy
Software Engineer (Python, AI)

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About The Company
Google DeepMind is a leading artificial intelligence research laboratory dedicated to advancing the frontiers of AI technology for the benefit of society. Renowned for its groundbreaking research and innovative solutions, DeepMind collaborates with academic institutions, industry partners, and internal teams to develop AI systems that address complex global challenges. The organization emphasizes ethical AI development, safety, and transparency, ensuring that technological advancements are aligned with societal values. With a diverse and interdisciplinary team, DeepMind strives to push the boundaries of what is possible in artificial intelligence, fostering an environment of continuous learning and scientific discovery.
About The Role
We are seeking a highly skilled and motivated AI Engineer to join our Science and Strategic Initiatives team at Google DeepMind. In this role, you will focus on building and operationalizing a self-improving meta-agent framework designed to diagnose, remediate, and improve AI agent performance across various domains including science, cybersecurity, and coding. Your responsibilities will include designing diagnostic agents, developing automated validation pipelines, and creating memory architectures to extract insights from multi-agent deployments. You will work closely with research teams to characterize model limitations, drive foundational improvements, and ensure the robustness of AI systems in real-world applications. This position offers an exciting opportunity to contribute to transformative AI solutions that have scientific, commercial, and societal impact, with the flexibility to work from locations in London, UK or Mountain View, CA, USA.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Qualifications
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience
- Minimum of 5 years of experience in software design and development using Python, distributed systems, or cloud infrastructure
- Experience building, deploying, and operating multi-agent or AI systems in production or near-production environments
- Experience with evaluation frameworks, metrics design, or quality measurement for machine learning systems
- Proven ability to collaborate with cross-functional research teams, external partners, or enterprise customers to translate requirements into technical solutions
- Preferred: Master's degree or PhD in Computer Science, Artificial Intelligence, or a related field
- Preferred: Experience with large-scale data pipelines, foundation model training, or fine-tuning at scale
- Preferred: Research experience with publications in AI/ML conferences or relevant research environments
- Preferred: Domain expertise in life sciences, drug discovery, cybersecurity, or developer tools
Responsibilities
- Design and develop the self-improving meta-agent framework, including scaffolding, diagnostic tools, and feedback mechanisms across various domains
- Deploy, monitor, and enhance AI agents in real-world settings, working closely with enterprise clients and academic partners to scale deployments effectively
- Create automated evaluation pipelines to assess agent quality, robustness, and performance beyond traditional lab benchmarks
- Develop cross-engagement learning systems and memory architectures to extract, distill, and generalize insights from multiple agent deployments
- Characterize core foundation model limitations through empirical evidence and collaborate with research teams to implement targeted improvements


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Benefits
- Competitive salary package including bonus, equity, and comprehensive benefits
- Opportunities for professional growth and development within a pioneering AI research environment
- Flexible work arrangements, with options to work from London, UK or Mountain View, CA, USA
- Access to cutting-edge AI tools, technologies, and research collaborations
- Participation in impactful projects that address global challenges and advance scientific knowledge
Equal Opportunity
Google DeepMind is an equal opportunity employer. We are committed to fostering an inclusive environment where all employees are valued and respected. We provide equal employment opportunities regardless of race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal history, in accordance with applicable laws. If you require accommodations during the application process due to a disability or other need, please let us know by completing our Accommodations for Applicants form.
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