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Software Engineer, AI/ML, PhD, Early Career, 2026

Google · Bangalore

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Collected role description

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 . 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.

Collected minimum qualification

PhD degree in Computer Science, Electrical Engineering, or a related technical field.; 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.; 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).; Experience coding in one of the following programming languages including but not limited to: C, C++, Python, Java, or Golang.

Collected preferred qualification

2 years of experience with data structures and algorithms.; Experience in areas such as algorithms, architecture, artificial intelligence, compilers, databases, data mining, distributed systems, machine learning, networking, or general systems.; Demonstrated success in publishing peer-reviewed articles in prestigious conferences or journals (e.g., ICML, ICLR, ACL, KDD, SOSP, Nature).; Availability to commence a full-time position in 2026.

Collected experience requirement

1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.