Senior Staff Software Engineer, AI/ML AI Data

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.

• 8 years of experience in software development.

• 7 years of experience leading technical project strategy, ML design and

optimizing end-to-end Machine Learning (e.g., model deployment, model

evaluation, data processing, debugging, fine tuning).

• 5 years of experience with one or more of the following: speech/audio (e.g.,

technology duplicating and responding to the human voice), reinforcement

learning (e.g., sequential decision making), ML infrastructure, or

specialization in another ML field.

• 5 years of experience with design and architecture; and testing/launching

software products.

PREFERRED QUALIFICATIONS:

• Master’s degree or PhD in Engineering, Computer Science, or a related

technical field.

• 8 years of experience with data structures and algorithms.
• 5 years of experience in a technical leadership role leading project teams

and setting technical direction.

• 3 years of experience working in a complex, matrixed organization involving

cross-functional, or cross-business projects.

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.

The AI Data organization is responsible for democratizing high-quality AI/ML

data assets and infrastructure to enable Google to rapidly and iteratively

deliver safe, innovative, and impactful product experiences powered by AI

models. We build scalable and automated infrastructure to manage ML assets at

Google from development to launch with full traceability and auditability,

without compromising dev velocity.

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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Understand the design and architecture of highly complex ML pipelines and

distributed systems, with a view towards making them more resource-efficient

while improving the quality of the AI/ML data assets they produce.

• Drive the adoption of next-generation AI/ML techniques to solve ambiguous

business problems, moving from conceptual prototypes to global production.

• Set the "gold standard" for code quality, testing, and deployment within the

team, performing architectural reviews and optimizing system performance.

• Mentor executive and mid-level engineers, fostering a culture of technical

growth, and represent the team in high-level technical discussions across the

broader organization.

• Partner with researchers to operationalize models and work with product

stakeholders to align technical roadmaps with user needs.