Senior Software Engineer, AI/ML, Google Research

Google Inc.; Mountain View, Northern (CA, KY); Hybrid; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google Mountain View, CA is seeking a Mid Senior Software Engineer focused on AI/ML for Google Research. You will drive end-to-end ML solutions, collaborate with researchers and product teams, and contribute to scalable, production-grade AI systems for advertising and information access.

The role emphasizes hands-on model development, collaboration, and delivering features with business impact in a fast-paced environment at Google Research.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of software development experience in one or more programming languages.
• 2 years of experience in large language model (LLM) modeling, including pre-training or fine-tuning.
• 2 years of experience with Generative AI technologies, and launching features.

Responsibilities

• Design and implement solutions in ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
• Design, build, and productionize sophisticated machine learning models to understand user intent and advertiser objectives.
• Collaborate with Research Scientists and Product teams to translate novel concepts in LLMs, RL, and agentic systems into scalable, production-ready solutions.
• Take ownership of the end-to-end ML lifecycle to develop and launch new advertising products and translate into features with business impact.

Skills

Software development

LLM modeling

Generative AI

Mentoring

Education

Bachelor’s degree or equivalent practical experience

PhD in CS/AI/ML

Job description

Senior Software Engineer, AI/ML, Google Research

Share Senior Software Engineer, AI/ML, Google Research

Google Mountain View, CA, USA

Mid

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

X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 2 years of experience in large language model (LLM) modeling, including pre-training or fine-tuning.
• 2 years of experience with Generative AI technologies, and launching features.

Preferred qualifications:

• PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
• 5 years of experience with data structures and algorithms.
• Experience driving end-to-end production launches for machine learning features in high-traffic, latency-critical systems.
• Experience with Reinforcement Learning (RL) or agentic systems.
• Demonstrated publication record at academic conferences (e.g., NeurIPS, ICML, ICLR).

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 Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field: we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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 Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field: we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Design, build, and productionize sophisticated machine learning models to understand user intent and advertiser objectives. Your work will form the core intelligence of our next-generation, AI-driven ad systems.

• Collaborate closely with Research Scientists and Product teams to translate novel concepts in LLMs, RL, and agentic systems from initial prototypes into scalable, production-ready solutions.
• Take ownership of the end-to-end ML lifecycle to develop and launch new advertising products. Translate into features with significant business impact and shape the future of Google's monetization.
• Contribute to the scientific community with opportunities to co-author publications for academic conferences (e.g., NeurIPS, ICML), showcasing your innovative work and its impact.

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 .

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.

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.