GenAI Software Engineer – ML Systems & Production

Google LLC; Mountain View (CA); Hybrid; USD 153,000 - 211,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google DeepMind is seeking a Software Engineer with a strong foundation in Java, C, C++, Python, Go, Kotlin, or Typescript to contribute to cutting-edge GenAI research and products in Mountain View, CA. The role involves building scalable ML pipelines, collaborating across teams, and contributing to the full lifecycle from concept to production.

The position offers a base US salary in a high-impact AI environment with a 15% bonus target, equity, and comprehensive benefits.

Qualifications

• Bachelor's degree in a related field and 2 years of experience in software engineering or software engineer-related occupation.
• 2 years of experience in Java, C, C++, Python, Go, Kotlin or Typescript; data structures/algorithms; systems thinking; cross-functional collaboration; full lifecycle of web frontend projects from proof-of-concept to implementation.

Responsibilities

• Prototype GenAI solutions, curate datasets, and build ML pipelines for generative media, multimodal understanding, and reinforcement learning.
• Develop and test robust product code with integration, performance, and security testing to ensure quality.
• Conduct design and code reviews to enforce best practices, improve testability, and ensure efficiency and accuracy.
• Debug, analyze root causes, and resolve complex system issues affecting hardware, network, and service operations.
• Create and maintain technical documentation and manage deployment lifecycles to reduce technical debt and improve scalability.

Skills

Java

C

C++

Python

Go

Kotlin

Typescript

Education

Bachelor's degree

Job description

Google DeepMind is seeking a Software Engineer with a strong foundation in Java, C, C++, Python, Go, Kotlin, or Typescript to contribute to cutting-edge GenAI research and products in Mountain View, CA. The role involves building scalable ML pipelines, collaborating across teams, and contributing to the full lifecycle from concept to production.

The position offers a base US salary in a high-impact AI environment with a 15% bonus target, equity, and comprehensive benefits.