Senior Software Engineer, Machine Learning, Model Optimization

Requirements:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in C++, Python, or Java programming languages and with data structures/algorithms.
• 3 years of experience with machine learning algorithms and tools.
• 2 years of experience in building production quality ML systems.

Nice to haves:

• Master's degree or PhD in Computer Science or a related technical field.
• Experience with modern ML frameworks (e.g., JAX, Pytorch, or TensorFlow).
• Experience with launching applied Machine Learning/Natural Language Processing (ML/NLP) projects.

What you'll be doing:

• Build the platform that incorporates fine-tuning, multi-agent systems, prompt engineering, model optimization, etc. into the Google product development lifecycle.
• Develop and maintain products written in C++ and Python conforming with Google-wide coding and testing standards.
• Design and implement customer requested GenAI features through multiple stages such as requirements gathering, proposing design, building agreement among stakeholders, implementing, and rolling out to production.
• Collaborate with stakeholders to identify emerging technology related to GenAI and develop a plan for translating these into practical solutions for Google products.

Perks and benefits:

• Information collected and processed as part of your Google Careers profile and any job applications you choose to submit are subject to Google's Applicant and Candidate Privacy Policy.
• Google is an equal opportunity and affirmative action employer.
• 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, Google employees, or any other organization location.