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Senior Software Engineer, AI/ML Natural Language Processing - Job Opportunity at Google

Sunnyvale, United States
Full-time
Senior
Posted: January 20, 2025
On-site
USD 161,000-239,000 per year

Benefits

Competitive equity package with significant growth potential
Comprehensive healthcare benefits
Industry-leading retirement plans
Professional development and education support
Flexible work arrangements
Advanced AI/ML research opportunities
Collaborative work environment with industry experts

Key Responsibilities

Design and implement large-scale NLP solutions for Google Cloud platform
Lead technical architecture decisions for AI/ML systems
Drive code quality and best practices through peer reviews and mentorship
Optimize ML model deployment and evaluation processes
Contribute to product strategy and technical documentation
Collaborate with cross-functional teams on AI research initiatives
Debug and resolve complex system issues affecting service quality

Requirements

Education

Bachelor's degree or equivalent practical experience

Experience

5 years software development, 3 years NLP, 3 years ML infrastructure

Required Skills

Software development expertise Data structures and algorithms Natural Language Processing Machine Learning infrastructure Software design and architecture Model deployment and evaluation System optimization Technical leadership Accessible technology development
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Sauge AI Market Intelligence

Industry Trends

AI/ML integration into enterprise cloud services is experiencing unprecedented growth, with NLP applications becoming central to business transformation Cloud-native AI solutions are shifting from experimental to production-grade implementations, requiring robust engineering practices Increasing demand for scalable, industry-specific AI solutions is driving the need for specialized NLP expertise

Salary Evaluation

The offered range of USD 161,000-239,000 is competitive for Silicon Valley, particularly with Google's additional compensation components. Total compensation including equity and bonuses typically ranges from USD 250,000-400,000 annually

Role Significance

Typically part of a 5-8 person core development team, with broader collaboration across multiple product groups
Senior-level position with significant technical leadership responsibilities and direct impact on Google Cloud's AI capabilities

Key Projects

Enterprise-scale NLP service development ML model optimization and deployment systems Cross-platform AI integration frameworks Custom industry-specific AI solutions

Success Factors

Deep expertise in both software engineering fundamentals and ML/NLP concepts Ability to bridge research innovations with practical enterprise applications Strong system design skills with focus on scalability Excellent cross-functional collaboration abilities

Market Demand

Extremely high demand with significant competition for talent, particularly in cloud AI/ML roles. This position represents a critical hiring need as cloud AI services expand

Important Skills

Critical Skills

Advanced NLP expertise with focus on enterprise applications Large-scale system design experience ML infrastructure optimization capabilities

Beneficial Skills

Cloud platform development experience Enterprise solution architecture Technical writing and documentation skills

Unique Aspects

Direct involvement in cutting-edge AI research with practical applications
Opportunity to influence major enterprise AI implementations
Access to Google's vast computational resources and datasets
Balance of research innovation with practical engineering

Career Growth

2-4 years typical progression timeline to next level, depending on impact and leadership demonstration

Potential Next Roles

Principal Engineer Technical Lead Manager AI/ML Architecture Lead Engineering Director

Company Overview

Google

Google maintains leadership in AI research and cloud services, with this role directly contributing to their enterprise AI strategy

Top-tier technology company with significant resources and market influence in cloud and AI sectors
Silicon Valley location provides access to key AI research communities and enterprise customers
Fast-paced, innovation-focused environment with emphasis on technical excellence and research impact
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