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Software Engineer, Photos, Early Career - Job Opportunity at Google

Sydney, Australia
Full-time
Entry-level
Posted: May 9, 2025
On-site
AUD 95,000 - 125,000 per year based on Sydney market rates for early-career software engineers at top tech companies

Benefits

Competitive compensation package typical of Google
Comprehensive health insurance
Professional development opportunities
Work-life balance programs
Advanced technical resources and infrastructure
Collaborative work environment
Innovation-focused culture

Key Responsibilities

Design and develop scalable software solutions for Google Photos platform
Lead technical implementation of photo storage and sharing features
Collaborate with cross-functional teams on product development
Optimize performance and reliability of photo processing systems
Implement machine learning and computer vision capabilities
Contribute to architectural decisions and technical direction
Ensure code quality and maintainability through testing and review processes

Requirements

Education

Bachelor's degree or equivalent practical experience

Experience

Entry level with demonstrated programming experience

Required Skills

Software development in one or more programming languages Data structures and algorithms Web application development Distributed computing System design Security principles AI/ML fundamentals Natural language processing UI design Mobile development
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Sauge AI Market Intelligence

Industry Trends

The photo storage and sharing market is experiencing rapid growth with increasing focus on AI-powered features and cloud integration Privacy and security concerns are driving innovation in photo storage solutions Mobile-first development approaches are becoming standard for photo applications Machine learning capabilities are becoming essential for competitive photo management platforms

Role Significance

Typically part of a 6-10 person engineering team, working within larger Photos organization of 100+ engineers
Entry-level position with significant growth potential within Google's engineering hierarchy

Key Projects

Photo storage and retrieval optimization Machine learning model implementation for photo recognition User interface development for web and mobile platforms Backend infrastructure scaling Feature development for sharing and collaboration tools

Success Factors

Strong foundation in computer science fundamentals Ability to work effectively in large-scale distributed systems Understanding of machine learning and computer vision principles Excellent collaboration and communication skills Adaptability to rapid technological changes Focus on user-centric development

Market Demand

High demand, particularly for engineers with machine learning and computer vision expertise. Google Photos' position as a core Google product suggests strong investment and growth potential.

Important Skills

Critical Skills

Strong programming fundamentals Understanding of distributed systems Machine learning basics Problem-solving skills

Beneficial Skills

Computer vision experience Mobile development expertise UX design understanding Cloud infrastructure knowledge

Unique Aspects

Opportunity to work on a product used by billions of users
Access to cutting-edge machine learning infrastructure
Strong focus on Indigenous inclusion and reconciliation
Balance of client-side and server-side development opportunities

Career Growth

2-3 years typical progression to senior level, with opportunities for parallel moves into specialized roles

Potential Next Roles

Senior Software Engineer Technical Lead Machine Learning Engineer Product Manager Engineering Manager

Company Overview

Google

Google Photos is a strategic product within Google's ecosystem, serving billions of users globally and driving innovation in cloud storage and AI technologies

Industry leader in photo storage and sharing, with strong integration into Android ecosystem and significant market share
Sydney office serves as a major APAC engineering hub with significant influence on global product development
Fast-paced, innovation-focused environment with emphasis on collaboration and technical excellence
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