US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
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.
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.
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.
