Software Engineer, Machine Learning​/ ML Engineer, AI Engineer (Applied​/Software)

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field.
• 2 years of experience in a Software Engineer‑related occupation.
• 2 years of experience in one or more of the following:
  • Training generative AI models for media generation
  • Developing machine‑learning models with Tensor Flow, PyTorch, or JAX
  • Managing ML infrastructure, including model deployment, evaluation, optimization, and data processing
  • Software development using Java, C, C++, Python, or Go
  • Designing and applying data structures or algorithms

• Apply research to high‑impact problems by prototyping GenAI solutions, curating datasets, and building ML pipelines for generative media, multimodal understanding, and reinforcement learning.
• Develop and test robust product code, performing comprehensive testing that includes integration, performance, and security to ensure system quality and reliability.
• Collaborate with peers through rigorous design and code reviews to enforce best practices, improve system testability, and ensure overall efficiency and accuracy.
• Triage and resolve complex system issues by debugging, analyzing root causes, and implementing solutions to optimize hardware, network, and service operations.
• Create and maintain technical documentation and educational materials, adapting content based on product updates and user feedback to ensure clarity and relevance; manage the full deployment lifecycle by contributing to system qualification, monitoring, process automation, and paying down technical debt to improve long‑term scalability.

US base salary range for this full‑time position is $149,400 – $211,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job‑related skills, experience, and relevant education or training.

Position reports to the Google Sunnyvale, CA office and may allow for a hybrid schedule as per Google policy.

Google is proud to be an equal‑opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.