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Software Engineer, Chrome OS Machine Intelligence - Job Opportunity at Google

Sydney, Australia
Full-time
Mid-level
Posted: March 8, 2025
On-site
AUD 150,000 - 220,000 per year based on Sydney market rates for ML engineers at major tech companies

Benefits

Comprehensive healthcare coverage typical of major tech companies
Professional development and learning opportunities
Work-life balance initiatives
Competitive vacation and leave policies
Access to Google's world-class facilities and resources

Key Responsibilities

Lead development of machine learning systems for Chrome OS
Design and implement scalable AI algorithms and solutions
Collaborate with cross-functional teams on ML integration
Drive technical architecture decisions and system design
Contribute to Google's core machine learning infrastructure

Requirements

Education

Bachelor's degree or equivalent practical experience

Experience

2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree

Required Skills

Software development Machine learning algorithms Artificial intelligence Deep learning Natural language processing Distributed computing Large-scale system design Data structures and algorithms
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Sauge AI Market Intelligence

Industry Trends

Chrome OS's expanding role in enterprise computing is driving increased demand for ML engineers with system-level expertise Growing focus on edge AI and on-device machine learning capabilities presents unique optimization challenges Integration of AI features into operating systems is becoming a key differentiator in the consumer computing market

Role Significance

Typically part of a 5-8 person specialized ML team within larger Chrome OS organization of 50-100 engineers
Mid to senior-level position with significant technical ownership and architectural influence

Key Projects

Chrome OS AI feature development and optimization Machine learning model deployment and integration System-level ML infrastructure development Performance optimization for ML workloads Cross-platform AI capability development

Success Factors

Deep understanding of ML systems and their integration into OS architecture Ability to balance computational efficiency with ML model accuracy Strong collaboration skills across international teams Experience with large-scale distributed systems Proven track record of shipping production ML features

Market Demand

Very high, particularly given the specialized intersection of OS-level development and machine learning expertise

Important Skills

Critical Skills

Machine learning expertise with focus on system-level integration Strong software engineering fundamentals Experience with large-scale distributed systems Performance optimization skills

Beneficial Skills

Experience with Chrome OS or other operating systems Knowledge of edge AI and on-device ML Understanding of hardware acceleration for ML workloads Familiarity with Google's ML infrastructure

Unique Aspects

Rare opportunity to work on ML systems at OS level
Direct impact on millions of Chrome OS users
Access to Google's extensive ML infrastructure and resources
Focus on indigenous inclusion and reconciliation initiatives

Career Growth

2-3 years in role before advancement opportunities, depending on impact and project success

Potential Next Roles

Senior ML Engineer Technical Lead - ML Infrastructure ML Architect Engineering Manager - ML Systems

Company Overview

Google

Google remains the global leader in AI research and development, with Chrome OS representing a strategic platform for AI integration

Dominant position in both consumer computing and AI/ML technology sectors
Sydney office serves as a key APAC engineering hub with growing ML focus
Fast-paced, innovation-focused environment with emphasis on technical excellence and collaborative problem-solving
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