Senior Staff Software Engineer, Machine Learning, Cloud AI: Google

As a Senior Staff Machine Learning Engineer on the Google Cloud AI team, you will develop next-generation AI technologies for core products such as AI Search, Specialized AI models, and the Developer Platform. This role involves applying deep expertise in machine learning, particularly in areas like search, speech, and translation, to design and optimize scalable ML models and infrastructure. You will be a key technical leader, collaborating with other teams to build AI solutions that help enterprises transform their operations, with a strong focus on Generative AI and large-scale model optimization.

Responsibilities
Lead the design, implementation, and optimization of machine learning solutions and infrastructure, defining the technical strategy for the product roadmap.

Provide technical leadership by creating demos and proofs-of-concept (POCs), managing product briefings, and partnering with Product Management and DeepMind to drive customer adoption.

Architect and develop highly scalable ML systems, including model training pipelines, serving infrastructure, and data processing solutions.

Enable client success by working closely with key Google Cloud Platform (GCP) customers to build and deploy enterprise-grade ML offerings.

Ensure AI/ML quality by reviewing model designs, code, and training data for accuracy, testability, and efficiency.

Requirements
Minimum Qualifications:

A Bachelor’s degree in computer science, mathematics, applied statistics, machine learning, or equivalent practical experience.

8 years of experience with software development in languages like Python, C, C++, or Java.

5 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, evaluation, fine-tuning).

3 years of experience with software design and architecture.

Experience with Large Language Models, NLP, or Generative AI.

Preferred Qualifications:

A Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

5 years of experience working with Large Language Models.

3 years of experience fine-tuning large models (e.g., supervised, RLHF).

3 years of experience in a technical leadership role, setting technical direction for project teams.

Experience in designing and deploying agentic AI workflows for business process automation.