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Senior Software Engineer

2 months ago

Mountain View, California, United States Google Full time
About the Role

We're seeking a highly skilled Senior Software Engineer to join our Machine Learning team at Google. As a key member of our team, you will be responsible for designing, developing, and deploying cutting-edge machine learning solutions that drive business growth and innovation.

Responsibilities
  • Design and develop scalable machine learning models and algorithms to solve complex problems
  • Collaborate with cross-functional teams to integrate machine learning solutions into our products and services
  • Develop and maintain high-quality software code, ensuring it meets our rigorous standards for reliability, performance, and security
  • Participate in code reviews and provide feedback to ensure best practices are followed
  • Triage and debug issues, working closely with our engineering teams to resolve problems efficiently
Requirements
  • Bachelor's degree in Computer Science or related field, or equivalent practical experience
  • 5+ years of experience in software development, with a strong focus on machine learning and artificial intelligence
  • 3+ years of experience in testing, maintaining, or launching software products, with a focus on software design and architecture
  • 1+ year of experience in a technical leadership role, with a focus on mentoring and guiding team members
Preferred Qualifications
  • Master's degree or PhD in Computer Science or related field
  • Experience developing accessible technologies
  • Experience with deep learning or natural language processing
What We Offer

As a Senior Software Engineer at Google, you will have the opportunity to work on a wide range of exciting projects, collaborate with talented engineers, and contribute to the development of innovative machine learning solutions. We offer a competitive salary range of $161,000-$239,000, plus bonus, equity, and benefits. Our salary ranges are determined by role, level, and location, and individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.