Software Engineer AI/ML - Learning and Sustainability

Overview

Google is seeking a Software Engineer AI/ML - Learning and Sustainability to develop next-generation technologies that impact billions of users. You will work on high impact projects, optimizing and deploying machine learning models across various domains including Search, YouTube, Gemini and DeepMind.

Minimum Qualifications

Bachelor’s degree or equivalent experience, plus relevant software development experience in one or more programming languages. Experience with speech/audio, reinforcement learning, ML infrastructure, or specialized ML fields is required.

Preferred Qualifications

Advanced degree in Computer Science or related field, with additional experience in data structures, algorithms, accessible technology, and other adjacent machine learning fields.

About the Role

As a Software Engineer AI/ML - Learning and Sustainability at Google, you will:

• Implement solutions in specialized ML areas and optimize models.
• Contribute to ML infrastructure including model deployment and evaluation.
• Work closely with product managers and team leaders to define quality goals.
• Innovate and generate new ideas in collaboration with Search/LearnX and DeepMind teams.
• Evaluate models using autoraters, human evaluations and live experiments.

Key Skills/Competency

Software Engineering, AI, ML, Reinforcement Learning, Data Processing, Model Optimization, Infrastructure, Evaluation, Scalable Systems, Innovation.

Compensation & Benefits

The US base salary range is $141,000-$202,000 with additional bonus, equity and benefits. Detailed salary information is discussed during the hiring process.

Equal Opportunity

Google is an equal opportunity workplace committed to diversification and inclusiveness in all aspects of employment.