Senior Software Engineer, AI/ML GenAI, Google Cloud Business Platforms

Google Inc.; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

An established industry player seeks a Senior Software Engineer to join their innovative team focused on AI and machine learning solutions. In this dynamic role, you will develop cutting-edge technologies that transform how users interact with information. You'll work on impactful projects within a vibrant environment that encourages collaboration and leadership. This position offers the opportunity to leverage state-of-the-art GenAI techniques and ML infrastructure, contributing to solutions that drive digital transformation for organizations worldwide. If you're passionate about technology and eager to tackle complex challenges, this is the perfect opportunity for you.

Qualifications

• 5+ years of software development experience with strong knowledge of data structures and algorithms.
• Experience with GenAI techniques and ML infrastructure is essential.

Responsibilities

• Write and test product development code while collaborating with peers.
• Design and implement GenAI solutions and evaluate tradeoffs in techniques.

Skills

Software Development

Data Structures

Algorithms

GenAI Techniques

ML Infrastructure

Education

Bachelor's Degree

Master's Degree

PhD in Computer Science

Job description

Senior Software Engineer, AI/ML GenAI, Google Cloud Business Platforms

corporate_fare Google place Seattle, WA, USA

Apply

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
  
• 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 state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
  
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 1 year of experience in a technical leadership role.
  

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 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.

Responsibilities

• Write and test product or system development code.
  
• 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/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  
• Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.
  

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.

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.