AI Research Software Engineer — Systems & ML

Google LLC; Cambridge, Mountain View (MA, CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google DeepMind is seeking a Share Research Software Engineer to join a mission-driven team in Cambridge, MA. The role focuses on building AI testing systems, visualizing results, and developing test problems within physics simulators, collaborating with researchers and engineers to advance human-AI interaction.

Responsibilities include coding, design reviews, code feedback, documentation, and triage of system issues. Global equity grants are discretionary and based on qualifications.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of industry experience with 2 years in machine learning or software engineering.
• 2 years of experience with software development in one or more programming languages.

Responsibilities

• Write 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 (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• 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.

Skills

Programming languages

Machine learning experience

Software development

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Computer Science

Job description

Google DeepMind is seeking a Share Research Software Engineer to join a mission-driven team in Cambridge, MA. The role focuses on building AI testing systems, visualizing results, and developing test problems within physics simulators, collaborating with researchers and engineers to advance human-AI interaction.

Responsibilities include coding, design reviews, code feedback, documentation, and triage of system issues. Global equity grants are discretionary and based on qualifications.