Bachelor's degree in Computer Science or related field, or equivalent experience.
5 years of software development experience with programming languages.
2 years of experience with Generative AI technologies (e.g., LLMs, RAG).
1 year of experience with GenAI concepts like language modeling or computer vision.
Master's degree or PhD in a technical field preferred.
Experience in machine learning modeling and tech leadership roles preferred.
Proficiency in Python and C preferred.
Responsibilities
Lead technical development of features to enhance enterprise productivity.
Collaborate with peers on design and code reviews to uphold best practices.
Contribute to documentation and adapt content based on updates and feedback.
Triage and debug product or system issues, analyzing their impact.
Design and implement GenAI solutions, leveraging ML infrastructure.
Benefits
15% bonus target
Equity benefits
Comprehensive health coverage
Generous paid time off
Professional development opportunities
Full Job Description
info_outline
X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications:
Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
5 years of experience in software development with one or more programming languages.
2 years of experience with core Generative Artificial Intelligence (GenAI) technologies (e.g., Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agents) or model training/post-training.
1 year of experience with GenAI concepts such as language modeling or computer vision.
Preferred qualifications:
Master's degree or PhD in Computer Science or a related technical field.
Experience in machine learning modeling and tech leadership roles.
Proficiency in Python, C .
Experience building production-grade LLM-based applications and working with Google internal infrastructure.
Track record of innovation and critical thinking in solving technical problems.
About the job
As a Senior Software/Machine Learning (ML) Engineer in the Gemini Enterprise team, you will be at the heart of the generative Artificial Intelligence (AI) revolution. You won't just be testing models; you will be engineering the systems that define the intelligence, reliability, and helpfulness of Gemini Enterprise for millions of enterprise users. You will architect automated evaluation frameworks, design optimization algorithms, and solve technical issues at the intersection of Large Language Models (LLMs) and enterprise-grade software.
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
Learn more about benefits at Google .
Responsibilities
Lead the technical development of agentic features to transform enterprise productivity.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug, track, and resolve them by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Design and implement Generative Artificial Intelligence (GenAI) solutions, leverage Machine Learning (ML) infrastructure, and evaluate tradeoffs between different techniques and their application domains.
About Google
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
