Senior Staff ML Engineer, GenAI, Google Cloud

Technologies we use

About the project

Your responsibilities

• Design and build machine learning (ML) pipelines. Evaluate, integrate, and optimize ML models and agentic workflows.
• Lead the design of generative AI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
• Design, develop, test, deploy, maintain, and enhance large-scale AI-powered platforms and applications.
• Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.

Our requirements

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in Software Development.
• 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• Experience in testing and launching scalable software products.

Optional

• Master's degree in Computer Science or other technical field.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• Experience with GenAI techniques (e.g., LLMs, multimodal, large vision models) or with GenAI-related concepts (e.g., evaluations, language modeling, computer vision).

Benefits