Foundational AI Research Engineer - End-to-End ML Systems

Google DeepMind; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Bonus target 15%

Equity

Benefits

Job summary

Google DeepMind seeks a research-focused Software Engineer to design, train, and optimize foundational ML systems. You will lead end-to-end development from algorithmic design to production-grade serving and work closely with engineering and product teams to integrate core technologies.

This role involves experiment creation, architectural prototyping, and collaboration across research and product boundaries to advance AI research and scalable product innovations.

Qualifications

• Bachelor's degree or equivalent practical experience.
• Experience programming in Python or C++.
• Experience with machine learning, algorithm design, data structures, and distributed software systems.
• Experience taking technical projects or ML systems from concept to deployment.

Responsibilities

• Design, train, and optimize foundational algorithms and ML systems.
• Lead end-to-end technical development from design to production-grade architecture.
• Collaborate with engineering and product teams to integrate technologies into production environments.
• Develop evaluation methodologies to measure capability gains, latency, and personalization.

Skills

Python or C++

Machine learning

Algorithm design

Data structures

Distributed software systems

Technical project execution

Education

Bachelor's degree in Computer Science, ML, Mathematics, Statistics or related field

Job description

Google DeepMind seeks a research-focused Software Engineer to design, train, and optimize foundational ML systems. You will lead end-to-end development from algorithmic design to production-grade serving and work closely with engineering and product teams to integrate core technologies.

This role involves experiment creation, architectural prototyping, and collaboration across research and product boundaries to advance AI research and scalable product innovations.