Staff Software Engineer, Applied Machine Learning

Requirements:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development and with data structures/algorithms.
• 5 years of experience building and architecting large-scale, production quality Machine Learning (ML) systems.
• 5 years of experience with AI/ML algorithms and tools, Large Language Models (LLM) or other multimodal foundation models, and natural language processing.
• 5 years of experience in distributed development and large-scale data processing.
• Experience coding in either C++ or Python.

Nice to haves:

• 3 years of experience in building model optimization pipelines using quantization and distillation techniques.
• 3 years of experience integrating ML, neural networks, including sequence/transformer modeling in other domains like perception or speech, or Generative AI into commercial products.
• Experience in a technical leadership role leading project teams and setting technical direction.
• Experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Ability to contribute in the Machine Learning (ML) community through publications, open-source contributions, or conference participation.

What you'll be doing:

• Drive the platform goal to incorporate fine-tuning, multi-agent systems, prompt engineering, model optimization into the Google product development lifecycle.
• Develop and maintain our products, written in C++ and Python and ensure it complies with Google-wide coding and testing standards.
• Design and implement customer requested Generative AI features through multiple stages, requirements gathering, proposing design and building agreement among the key stakeholders.
• Collaborate with stakeholders, including other Google product areas, Google Research, and DeepMind organizations to identify emerging technology related to Artificial Intelligence (AI) and Generative AI and develop a strategic plan for translating these into practical solutions for Google products.
• Provide technical leadership and mentorship to team members, fostering their growth and development in the applied Machine Learning (ML) space.

Perks and benefits:

• Information collected and processed as part of your Google Careers profile is subject to Google's Applicant and Candidate Privacy Policy.
• Google is proud to be an equal opportunity and affirmative action employer.
• If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
• Google is a global company and English proficiency is a requirement for all roles unless stated otherwise in the job posting.
• Google does not accept agency resumes. Please do not forward resumes to our jobs alias.