{"id":1680,"date":"2026-06-28T23:05:18","date_gmt":"2026-06-28T23:05:18","guid":{"rendered":"https:\/\/coderseditor.com\/itjobs\/job\/software-engineer-ai-ml-phd-early-career-2\/"},"modified":"2026-06-28T23:05:18","modified_gmt":"2026-06-28T23:05:18","slug":"software-engineer-ai-ml-phd-early-career-2","status":"publish","type":"job_listing","link":"https:\/\/coderseditor.com\/itjobs\/job\/software-engineer-ai-ml-phd-early-career-2\/","title":{"rendered":"Software Engineer, AI\/ML, PhD, Early Career"},"content":{"rendered":"

Software Engineer, AI\/ML, PhD, Early Career Overview<\/h2>\n\n\n\n\n\n\n\n\n
Company Name<\/strong><\/td>\nGoogle<\/td>\n<\/tr>\n
Job Role<\/strong><\/td>\nSoftware Engineer, AI\/ML, PhD, Early Career<\/td>\n<\/tr>\n
Qualifications<\/strong><\/td>\nPhD<\/td>\n<\/tr>\n
Category<\/strong><\/td>\nIT Jobs<\/td>\n<\/tr>\n
Job Type<\/strong><\/td>\nFull Time<\/td>\n<\/tr>\n
Location<\/strong><\/td>\nLondon<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

This role is for an early-career software engineer focused on AI and machine learning, with a PhD background, based in London. The position sits within Google\u00e2\u0080\u0099s engineering organization and is centered on improving the quality and performance of machine learning models through better data use, optimization methods, and supporting engineering systems. The work is tied to Google\u00e2\u0080\u0099s broader AI efforts in the Gemini era, where data quality, training inputs, fine-tuning data, and retrieval-augmented generation inputs are especially important to model outcomes.<\/p>\n

You would be joining a team that builds tools and services to make it faster and easier to achieve model-quality goals. The team\u00e2\u0080\u0099s approach is to bring data-optimization methods to a wider audience through integrated products and platforms, then continuously improve those tools so users can see which approaches work best for their specific needs and how to improve further. The role also involves collaboration with key product teams across Google and with Google Cloud, where the company supports digital transformation through enterprise-grade technology and developer tools.<\/p>\n

What you would do<\/h3>\n
    \n
  • Help expand and scale techniques that improve the quality and performance of machine learning models by optimizing the data used to train, fine-tune, or retrieve information for them.<\/li>\n
  • Work side by side with research teams and machine learning practitioners to identify needs, design solutions, and refine engineering tools and data-processing pipelines.<\/li>\n
  • Build, improve, and iterate on systems that apply data-optimization methods efficiently and automatically.<\/li>\n
  • Contribute to platforms and tooling that help users understand which optimization methods are most effective for their use case.<\/li>\n
  • Support the creation of insights and workflows that make it easier for teams to improve model quality over time.<\/li>\n
  • Take ownership of a specific project that matters to Google, while remaining adaptable as priorities shift and opportunities arise to move between teams or projects.<\/li>\n
  • Approach the work with versatility and leadership, and be ready to solve new technical problems across the stack as the business changes.<\/li>\n<\/ul>\n

    What the role requires<\/h3>\n
      \n
    • You must be currently enrolled in a PhD program or have already completed one.<\/li>\n
    • You need research experience in artificial intelligence, distributed systems, machine learning, data mining, natural language processing, image classification, spam fighting, or a closely related area.<\/li>\n
    • You should have experience in computer science and software design.<\/li>\n
    • Experience with generative AI is preferred.<\/li>\n
    • Knowledge of data structures and algorithms is preferred.<\/li>\n
    • Python programming experience is preferred.<\/li>\n
    • The position is described as mid-level, so the successful candidate should be able to make progress independently, solve problems effectively, and support or mentor more junior colleagues.<\/li>\n
    • Because Google operates globally, strong English proficiency is required unless a posting explicitly says otherwise.<\/li>\n
    • You should be comfortable working in a fast-moving environment where collaboration across teams and regions is part of the job.<\/li>\n<\/ul>\n

      Additional context<\/h3>\n

      The posting emphasizes that Google engineers work on technologies that operate at very large scale and extend far beyond web search. The company looks for people who can contribute fresh ideas from areas such as information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, user interface design, and mobile development. The expectation is that engineers are adaptable, capable of leadership, and eager to tackle new challenges as products and priorities evolve.<\/p>\n

      The role is also framed within Google\u00e2\u0080\u0099s broader commitment to equal opportunity and an inclusive workplace. The company states that it is an equal opportunity and affirmative action employer and that it seeks to build a workforce representative of the users it serves. It also notes that applicants can request accommodations if needed during the hiring process.<\/p>\n

      The posting includes standard legal and policy information, including that applicant and candidate information is handled under Google\u00e2\u0080\u0099s privacy policy, that agency resumes are not accepted, and that unsolicited resumes do not create fee obligations for Google. It also explains that any equity grants are discretionary, subject to approval and the relevant stock plan terms, and do not create an entitlement or affect statutory payments.<\/p>\n

      How to apply<\/h3>\n

      The page provides an application link through Google Careers. Candidates can apply directly from the job listing and may also copy the link or email the posting to a friend. If an accommodation is needed during the application process, the posting directs applicants to Google\u00e2\u0080\u0099s accommodations form.<\/p>\n\n

      Degree Requirement:<\/strong> PhD<\/p>\n

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