Software Engineer, AI/Machine Learning, PhD, Early Career, 2027 Start Google - 4.3 San Bruno, CA Job Details Full-time $147,000 - $210,000 a year 3 hours ago Benefits Paid holidays Disability insurance Health insurance Dental insurance Paid time off Parental leave Vision insurance 401(k) matching Qualifications AI models TensorFlow Performance tuning Software engineering Rust (programming language) Go Computer Science PyTorch Full-stack development System performance optimization System design Research AI platforms (beyond public GPTs) Scalable systems Computational framework Java System design for system development Doctoral degree in Computer Science Production systems Collaboration with product development teams Machine intelligence Doctor of Philosophy JavaScript Application design CNN Developing large-scale AI models Engineering research Natural language processing Technical research projects Developing data pipelines Full Job Description In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.
20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time:
40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave:
18 weeks
Holidays:
13 paid days per year
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, Artificial Intelligence, Machine Learning, or related technical 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 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). Experience developing with Rust and modern deep learning frameworks such as PyTorch, JAX, or TensorFlow. Availability to start in a full-time role in 2027. About the job 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US:
$147000 - $210000 (USD) + 15% bonus target + equity + 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.
