Google
Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start
Google, New York, New York, us, 10261
Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start
Join to apply for the
Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start
role at
Google Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start
Join to apply for the
Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start
role at
Google Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA; Atlanta, GA, USA; Kirkland, WA, USA; Madison, WI, USA; Mountain View, CA, USA; New York, NY, USA; Raleigh, NC, USA; Durham, NC, USA; San Bruno, CA, USA; Seattle, WA, USA . Minimum qualifications:
PhD degree in Computer Science, ML/AI, or a related field, or equivalent practical experience. Experience coding in one of the following programming languages including but not limited to: Python, C, C++, Java, JavaScript or Golang. Experience in Machine Learning or Artificial Intelligence.
Preferred qualifications:
Research experience in designing, developing, or applying ML/AI systems or applications in a large-scale distributed environment. Experience in designing, training, or refining complex ML/AI models. Experience in deep learning frameworks like TensorFlow/Jax/Pytorch. Experience in building a stack for an AI-powered application, including data ingestion and processing pipelines, building APIs, and connecting the model to a user-facing interface. Familiarity with model architectures (CNNs, NLP Transformers, Diffusion/Vision Transformers). Availability to start full-time role in 2026.
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.
Google'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.
As 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!
Our 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.
Google 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.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
Collaborate or lead on team projects to carry out design, analysis, and development of advanced ML systems across the stack using your research expertise. Support 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. Optimize complex system performance by analyzing and fixing performance bottlenecks, memory inefficiencies, and errors in production systems to meet stringent customer goals. Elevate engineering excellence by writing well-tested code, conducting code reviews and fostering a culture of quality by advocating best engineering practices.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Information Technology and Engineering Industries Information Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google by 2x Get notified about new Software Engineer jobs in
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Join to apply for the
Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start
role at
Google Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start
Join to apply for the
Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start
role at
Google Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA; Atlanta, GA, USA; Kirkland, WA, USA; Madison, WI, USA; Mountain View, CA, USA; New York, NY, USA; Raleigh, NC, USA; Durham, NC, USA; San Bruno, CA, USA; Seattle, WA, USA . Minimum qualifications:
PhD degree in Computer Science, ML/AI, or a related field, or equivalent practical experience. Experience coding in one of the following programming languages including but not limited to: Python, C, C++, Java, JavaScript or Golang. Experience in Machine Learning or Artificial Intelligence.
Preferred qualifications:
Research experience in designing, developing, or applying ML/AI systems or applications in a large-scale distributed environment. Experience in designing, training, or refining complex ML/AI models. Experience in deep learning frameworks like TensorFlow/Jax/Pytorch. Experience in building a stack for an AI-powered application, including data ingestion and processing pipelines, building APIs, and connecting the model to a user-facing interface. Familiarity with model architectures (CNNs, NLP Transformers, Diffusion/Vision Transformers). Availability to start full-time role in 2026.
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.
Google'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.
As 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!
Our 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.
Google 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.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
Collaborate or lead on team projects to carry out design, analysis, and development of advanced ML systems across the stack using your research expertise. Support 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. Optimize complex system performance by analyzing and fixing performance bottlenecks, memory inefficiencies, and errors in production systems to meet stringent customer goals. Elevate engineering excellence by writing well-tested code, conducting code reviews and fostering a culture of quality by advocating best engineering practices.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Information Technology and Engineering Industries Information Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google by 2x Get notified about new Software Engineer jobs in
New York, NY . Software Engineer, Infrastructure, Early Career
New York, NY $126,000.00-$170,000.00 1 week ago New York, NY $180,000.00-$280,000.00 1 week ago New York, NY $120,000.00-$180,000.00 6 months ago Want to work with us, but don't see the right job listed?
New York, NY $160,000.00-$160,000.00 1 week ago New York, NY $70,000.00-$150,000.00 1 week ago New York, NY $140,000.00-$200,000.00 1 month ago New York, NY $235,000.00-$255,000.00 7 hours ago New York, NY $125,000.00-$175,000.00 3 weeks ago Brooklyn, NY $150,000.00-$200,000.00 1 week ago New York, NY $110,000.00-$125,000.00 2 days ago Software Engineer, AI Intern (Summer 2026)
New York, NY $100,000.00-$150,000.00 2 weeks ago New York, NY $163,200.00-$223,200.00 2 weeks ago New York, NY $150,000.00-$283,000.00 1 week ago Software Engineer, AI Intern (Winter 2026)
New York, NY $120,000.00-$220,000.00 2 months ago New York, NY $145,000.00-$260,000.00 9 months ago Backend Software Engineer, CloudKitchens - New York City
New York, NY $163,200.00-$223,200.00 6 days ago Don't see the right opportunity? Apply here!
New York, NY $120,000.00-$140,000.00 1 month ago New York, NY $165,000.00-$165,000.00 1 year ago New York, NY $190,000.00-$250,000.00 5 days ago Brooklyn, NY $204,000.00-$240,000.00 2 days ago New York, NY $140,000.00-$200,000.00 2 months ago Software Engineer - Frontend / Fullstack
New York, NY $140,000.00-$200,000.00 2 months ago New York, NY $130,000.00-$240,000.00 5 days ago New York, NY $108,000.00-$135,000.00 19 hours ago New York, NY $120,000.00-$180,000.00 3 months ago New York, NY $150,000.00-$230,000.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr