Job Title: Staff Software Engineer, AI/ML, Geo: Google
Nov 30, 2025 |
Location: Bengaluru, Karnataka, India |
Deadline: Not specified
Experience: Senior
Continent: Asia
This role requires a combination of technical hands-on implementation and high-level project leadership.
Large Scale Development: Design, develop, test, deploy, maintain, and enhance large scale software solutions.
Technical Leadership: Provide technical leadership on high-impact projects, managing project priorities, deadlines, and deliverables.
Cross-Functional Alignment: Facilitate alignment and clarity across distributed teams on goals, outcomes, and timelines; influence and coach a distributed team of engineers.
ML System Design: Lead the design and implementation of solutions in specialized ML areas.
ML Infrastructure: Optimize ML infrastructure and guide the development of model optimization and data processing strategies (e.g., model deployment, debugging, fine tuning).
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π Qualifications and Experience
The minimum qualifications outline a demanding senior profile, requiring focused experience in both general software development and specialized ML systems.
Minimum Qualifications
Bachelorβs degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience with ML design and ML infrastructure (model deployment, model evaluation, data processing, etc.).
5 years of experience in one or more of the following specialized ML domains:
Speech/Audio (e.g., technology duplicating and responding to the human voice).
Reinforcement Learning (e.g., sequential decision making).
ML Infrastructure.
Specialization in another ML field relevant to large-scale Geo problems.
3 years of experience with software design and architecture.
Preferred Qualifications
Masterβs degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures/algorithms.
3 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 projects.
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