{"id":1301082,"url":"https://alion.io/job/google-software-engineer-aimachine-learning-phd-early-career-2027-start","title":"Software Engineer, AI/Machine Learning, PhD, Early Career, 2027 Start","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":75,"open_postings":116,"ghost_share":0,"stale_share":0.983,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-14T06:34:16Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":118000,"max_usd":262000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":330},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Go","optional":false},{"name":"JavaScript","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"JAX","optional":true},{"name":"NLP","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true},{"name":"Rust","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-08-24T07:39:23Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-14T08:09:29Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"About the job\nGoogle's engineers develop 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 a massive scale. You'll be at the forefront of innovation, developing systems and AI and Machine Learning solutions.\nAs a PhD graduate, your research expertise is invaluable to us. Explore a variety of projects, collaborate with various teams, and contribute to products that are changing the world, across many product areas, including AI & Infrastructure, Cloud, YouTube, Search, Ads and more!\nOur engineering teams include thousands of PhDs who bring their deep knowledge and research experience to enhance our systems and products. As a Google PhD Software Engineer, you will work on critical projects, with many opportunities to learn and follow your interests. We expect our engineers to be creative and versatile, leading and identifying new problems to push the field and Google technology forward.\nGoogle offers you exciting opportunities as it is one of the world’s leading producers and consumers of ML and AI technology, with decades of experience in designing, deploying, and using ML software and custom ML hardware infrastructure at massive scale.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nCollaborate or lead on team projects to carry out design, analysis, and development of advanced ML systems across the stack using your research expertise. \nSupport building end-to-end ML Systems that involves working across the full stack, from low-level hardware acceleration and compiler optimizations to high-level model architecture and production APIs, transforming your research expertise into robust, scalable products.\nOptimize complex system performance by analyzing and fixing performance bottlenecks, memory inefficiencies, and errors in production systems to meet stringent customer goals.\nElevate engineering excellence by writing well-tested code, conducting code reviews and fostering a culture of quality by advocating best engineering practices.\nQualifications\nMinimum qualifications:\nPhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field, or equivalent practical experience.\nExperience coding in one of the following programming languages including but not limited to: Python, C, C++, Java, JavaScript or Golang.\nExperience in Machine Learning or Artificial Intelligence.\n\nPreferred qualifications:\nResearch experience in designing, developing, or applying ML/AI systems or applications in a large-scale distributed environment.\nExperience in designing, training, or refining 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