Job description

Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. 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 . • Write and test product or system development code. • Assess threats to Gmail users from new technologies like GenAI and design appropriate safeguards in advance. • Drive key improvements through machine learning algorithms and systems innovations. • Design, run, and evaluate experiments for training GenAI models with the goal of improving Gmail abuse detection. Build production-ready ML systems that are both high-performing and scalable. • Work across research and engineering teams to build ML signals, techniques and infrastructure to protect Gmail users including enterprise customers. Collaborate with data science, product, and operation teams to stay at the forefront of abuse trends and risks. • Bachelor’s degree or equivalent practical experience. • 5 years of experience with software development in one or more programming languages. • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). • 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). • Experience with data analysis, statistical modeling, and translating complex data into actionable insights. Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 5 years of experience with software development in one or more programming languages. • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). • 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). • Experience with data analysis, statistical modeling, and translating complex data into actionable insights. Preferred qualifications: • Master's degree or PhD in Computer Science or related technical field. • 5 years of experience in Applied Machine Learning, in teams directly responsible for business metrics on user-facing products. • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. • 1 year of experience in a technical leadership role. • A background in a safety, abuse-fighting or integrity role at an Internet company.

Requirements

Must-haves

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Write and test product or system development code.
Assess threats to Gmail users from new technologies like GenAI and design appropriate safeguards in advance.
Drive key improvements through machine learning algorithms and systems innovations.
Design, run, and evaluate experiments for training GenAI models with the goal of improving Gmail abuse detection. Build production-ready ML systems that are both high-performing and scalable.
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Experience with data analysis, statistical modeling, and translating complex data into actionable insights.
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Experience with data analysis, statistical modeling, and translating complex data into actionable insights.
5 years of experience in Applied Machine Learning, in teams directly responsible for business metrics on user-facing products.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

Nice-to-haves

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Master's degree or PhD in Computer Science or related technical field.
A background in a safety, abuse-fighting or integrity role at an Internet company.

Application prep

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Keywords to mirror

aimlmachine learning

Platform: google
Effort: medium

Benefits

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Vision