Software Developer III, AI/ML, Google Workspace

Google is a leading technology company that develops internet-related services and products.
Machine Learning
Mid-Level Software Engineer
Contact Company
2+ years of experience
AI

Description For Software Developer III, AI/ML, Google Workspace

Google is seeking a Software Developer III for their AI/ML team in Google Workspace. This role requires a blend of software development expertise and machine learning knowledge. The ideal candidate will have experience in developing large-scale systems, working with ML infrastructure, and implementing AI solutions.

As a Software Developer III, you'll be part of a team that's shaping the future of how billions of users interact with information and each other. You'll work on critical projects for Google's needs, with opportunities to switch teams and projects as you grow. The role demands versatility, leadership qualities, and enthusiasm for tackling new problems across the full-stack.

Key responsibilities include writing product or system development code, collaborating on design and code reviews, contributing to documentation, troubleshooting complex issues, and implementing ML solutions. You'll be working with cutting-edge technologies in areas such as speech/audio processing, reinforcement learning, and ML infrastructure.

Google offers a dynamic work environment where you'll be at the forefront of technological innovation. You'll have the chance to work on products that impact millions of users worldwide, from consumer applications to cloud platforms. The company values diversity and is committed to creating an inclusive workplace for all.

If you're passionate about AI/ML, have a strong software development background, and want to make a significant impact on how people use technology, this role at Google could be your next career move.

Last updated 8 days ago

Responsibilities For Software Developer III, AI/ML, Google Workspace

  • Write product or system development code
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies
  • 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
  • Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing

Requirements For Software Developer III, AI/ML, Google Workspace

Python
Java
JavaScript
  • Bachelor's degree or equivalent practical experience
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree
  • 2 years of experience with data structures or algorithms
  • 1 year of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)

Interested in this job?

Jobs Related To Google Software Developer III, AI/ML, Google Workspace

Software Engineer II

Mid-level Software Engineer position at Microsoft's Azure ML team, building large-scale model serving platform for AI inference, including OpenAI models.

Machine Learning Engineer

Machine Learning Engineer role at Apple, focusing on developing ML solutions for the Apple Online Store, including search, recommendations, and personalization systems.

Software Engineer

Software Engineer role at Microsoft focusing on Azure Machine Learning infrastructure and large-scale AI model serving.

Field Service AI Solution Architect

Field Service AI Solution Architect position at Salesforce, focusing on implementing AI solutions for field service operations with 3+ years of experience required.

Deep Learning Engineer, Datacenters

Deep Learning Engineer position at NVIDIA focusing on datacenter optimization, AI infrastructure, and performance analysis for large-scale machine learning systems.