Senior Software Engineer, Machine Learning, Applied AI

Role Overview

In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Responsibilities

• Write and test product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Requirements & Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• Experience in Generative AI (Large Language Models, Multi-Modal, Large Vision Models).
• Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing, or other ML disciplines.

Preferred qualifications:

• Master's degree or PhD in Computer Science, or related technical field.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.

Application Instructions

Apply directly on Google Careers at Senior Software Engineer, Machine Learning, Applied AI↗.

Direct application sign-in: Submit Application↗

Note: In most instances, this position requires in-person interviews as part of the hiring process.In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:Health, dental, vision, life, disability insuranceRetirement Benefits: 401(k) with company matchPaid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employmentSick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeksBaby Bonding Leave: 18 weeksHolidays: 13 paid days per year