Senior Software Engineer, Machine Learning, Gemini

Google is a leading technology company that develops innovative products and services used by billions of users worldwide.
$161,000 - $239,000
Machine Learning
Senior Software Engineer
Hybrid
5000+ Employees
6+ years of experience
AI

Description For Senior Software Engineer, Machine Learning, Gemini

Google is seeking a Senior Software Engineer for their Machine Learning team, specifically for the Gemini project. Gemini is a conversational AI tool that enables users to collaborate with generative AI to augment their imagination, expand curiosity, and enhance productivity.

The ideal candidate will have 6 years of experience in software engineering, including experience with Machine Learning models, ML infrastructure, Natural Language Processing or Computer Vision. They should also have 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.

Responsibilities include writing and testing product code, participating in design reviews, reviewing code from other developers, contributing to documentation, and troubleshooting system issues. The role requires a balance of technical expertise and leadership qualities.

Google offers a competitive salary range of $161,000-$239,000 plus bonus, equity, and benefits. The company is committed to fostering a diverse and inclusive work environment, providing equal opportunities to all qualified candidates.

This position offers the opportunity to work on cutting-edge AI technology that impacts billions of users worldwide, making it an exciting role for those passionate about advancing the field of machine learning and AI.

Last updated a month ago

Responsibilities For Senior Software Engineer, Machine Learning, Gemini

  • 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
  • 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 For Senior Software Engineer, Machine Learning, Gemini

Python
Java
  • Bachelor's degree or equivalent practical experience
  • 6 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision
  • 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
  • 1 year of experience with software design and architecture

Benefits For Senior Software Engineer, Machine Learning, Gemini

Medical Insurance
Equity
  • Bonus
  • Equity
  • Medical Insurance

Interested in this job?

Jobs Related To Google Senior Software Engineer, Machine Learning, Gemini

Senior Customer and Partner Solutions Engineer, Machine Learning

Senior ML Solutions Engineer role at Google, combining AI expertise with customer solutions, requiring 6 years of experience in web technologies and programming.

Senior Software Engineer, Machine Learning, Core

Senior Software Engineer position at Google focusing on Machine Learning within the Core team, building fundamental technologies that power Google's flagship products.

Senior Software Engineer, AI/ML, Google Cloud AI

Senior Software Engineer position at Google Cloud AI team, focusing on developing cutting-edge AI solutions and ML infrastructure with competitive compensation and benefits.

Senior Software Engineer, AI/ML

Senior Software Engineer position at Google focusing on AI/ML development and infrastructure optimization.

Senior Software Engineer, AI/ML, Google Cloud AI

Senior Software Engineer position at Google Cloud AI, focusing on developing cutting-edge AI solutions and ML infrastructure with competitive compensation and benefits.