Senior Software Engineer AI/ML GenAI Google Wor...
@ Google

New York, NY
$205,000
On Site
Full Time
Posted 9 hours ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXX****** @google.com
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Job Details

Minimum Qualifications

Bachelor’s degree or equivalent practical experience. 5 years of software development experience and 3 years in testing, maintenance, or launching products. Additional experience includes ML infrastructure and GenAI techniques.

Preferred Qualifications

Master's or PhD in Computer Science (or related field) with 5 years in data structures/algorithms and 1 year in technical leadership. Experience with accessible technologies is a plus.

About The Job

At Google, software engineers build next-generation technologies to connect billions of users. As a Senior Software Engineer AI/ML GenAI Google Workspace, you will work on projects critical to Google’s mission, collaborate across teams, and impact products like Gmail, Docs, Drive, and more. The role offers opportunities to work with top talents including model builders from Google DeepMind.

Responsibilities

  • Write and test development code for products and systems.
  • Collaborate through design and code reviews.
  • Contribute to documentation and educational content updates.
  • Triage and debug product/system issues.
  • Design and implement GenAI solutions leveraging ML infrastructure.

Equal Opportunity

Google is an equal opportunity workplace committed to diversity, welcoming applicants regardless of race, color, religion, sex, national origin, and more.

Key skills/competency

  • AI
  • ML
  • GenAI
  • Software
  • Engineering
  • System Design
  • Debugging
  • Testing
  • Deployment
  • Data Processing
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How to Get Hired at Google

🎯 Tips for Getting Hired

  • Research Google culture: Study their mission, values, and projects.
  • Customize your resume: Highlight AI/ML and GenAI skills.
  • Prepare coding samples: Showcase system design and debugging.
  • Practice interviews: Focus on technical and leadership scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review ML deployment and debugging concepts.
Study GenAI techniques and current trends.
Practice coding and system design challenges.
Understand data processing methods and evaluation.

Behavioral Questions

Describe a successful team collaboration experience.
Explain leadership moments in challenging projects.
Share times managing tight deadlines.
Discuss adaptability in fast-paced environments.

Frequently Asked Questions