Software Engineer, AI/Machine Learning, PhD, Early Career, 2027 Start

Google; Town of Montana (WI); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) with company match

Paid Time Off 20 days per year

Sick Time 40 hours/year

Maternity Leave 28-30 weeks

Baby Bonding Leave 18 weeks

13 paid holidays

Job summary

Google is seeking a PhD Software Engineer specializing in AI/ML across multiple US locations. You will work on end-to-end ML systems, collaborating with teams across AI, cloud, and infrastructure to push state-of-the-art research into scalable products.

The role emphasizes research, model development, and building data-processing and API pipelines in a highly distributed environment. Relocation and full‑time commitment in 2027 are expected.

Qualifications

• PhD or equivalent practical experience in Computer Science, AI, ML or related field.
• Experience coding in Python, C, C++, Java, JavaScript or Golang.
• Experience in Machine Learning or Artificial Intelligence.

Responsibilities

• Collaborate or lead on projects to design, analyze, and develop advanced ML systems across the stack.
• Support end-to-end ML systems from hardware acceleration to production APIs.
• Optimize system performance and fix bottlenecks in production.

Skills

PhD in CS/AI/ML or related field

Python

C/C++

JavaScript

Golang

ML/AI experience

Rust

Education

PhD in CS/AI/ML or related field

Tools

PyTorch

JAX

TensorFlow

Rust

Job description

Software Engineer, AI/Machine Learning, PhD, Early Career, 2027 Start

Location

Sunnyvale, CA, USA; Atlanta, GA, USA; +9 more; +8 more

Experience

Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Benefits

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 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 Salary

$147,000 - $210,000 (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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Equal Opportunity

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Locations

• Sunnyvale, CA, USA
• Atlanta, GA, USA
• +9 more
• +8 more