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Senior Staff Software Engineer, AI/ML AI Data

Google
California, USA
Senior · 8+ years experience
Onsite
USD 262000-364000 / year
Discovered 2 days ago

Full Job Posting

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.

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.

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