Software Engineer III, AI/ML GenAI
About the role
MINIMUM QUALIFICATIONS:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience programming in Python or C++.
- 1 year of experience with ML infrastructure (e.g., model deployment, model
evaluation, optimization, data processing, debugging).
- Experience with core GenAI concepts (Large Language Models, Multi-Modal,
Large Vision Models).
- Experience with text, image, video, or audio generation.
PREFERRED QUALIFICATIONS:
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures and algorithms.
- Experience developing accessible technologies.
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.
Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
- Write 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.
- Implement GenAI solutions, utilize ML infrastructure, and contribute to data
preparation, optimization, and performance enhancements.
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.
- 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.
- Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
Qualifications
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience programming in Python or C++.
- 1 year of experience with ML infrastructure.
- Experience with core GenAI concepts.
- Experience with text, image, video, or audio generation.
- Master's degree or PhD in Computer Science or related technical fields (preferred).
- 2 years of experience with data structures and algorithms (preferred).
- Experience developing accessible technologies (preferred).
Benefits
- 15% bonus target
- equity
- benefits
Skills mentioned
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh