Software Engineer, AI/ML, PhD, Early Career

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Google is hiring a Software Engineer in AI/ML for early career to work onsite in London, full time, with a PhD in progress or completed and research experience across AI, distributed systems, machine learning, data mining, NLP, image classification or related fields. Core requirements include solid computer science fundamentals and software design; preferred experience includes Generative AI, data structures and algorithms, Python. You will help scale data optimization techniques to improve ML model performance and quality, collaborating with Research teams and ML practitioners to build tools, processing pipelines and platforms for data-centric training, fine tuning and RAG. To apply, tailor your resume to show measurable outcomes, highlight cross-functional collaboration, and demonstrate a data-focused mindset.

Minimum qualifications:

• Currently enrolled in or graduated from a PhD program.
• Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields.
• Experience in computer science and software design.

Preferred qualifications:

• Experience working with Generative AI.
• Experience with data structures and algorithms.
• Knowledge of Python programming.

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.

AI in the Gemini Era is data-centric: the quality of the data used for training, fine-tuning, or RAG, matters more to the performance of the end product than almost anything else.

Our mission is to improve the quality of models that Google releases through its various product offerings by providing tools and services for making faster and easier to reach model quality goals. We do so by bringing data optimization techniques to a broad audience through integrated tools and platforms. We build and iterate tools to automatically and efficiently apply data optimization techniques. We demonstrate to our users which ones work best for their use case, and deliver insights on how to improve further. We’re working with key product teams across Google.

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

• Help scaling data optimization techniques improving the performance and quality of ML models.
• Work closely with our Research teams as well as ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques.