Senior Machine Learning Engineer, GenAI, Google Cloud

Requirements:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in ML engineering including production environments.
• 5 years of experience in software development, including experience in software design, architecture, and shipping production-grade systems.
• 3 years of experience leading technical project strategy and ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience in testing and launching scalable software products.

Nice to haves:

• Master's degree in Computer Science or other technical field.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
• Experience with state-of-the-art GenAI techniques (e.g., LLMs, multi-modal, large vision models) or with GenAI-related concepts (e.g., evaluations, language modeling, computer vision).

What you'll be doing:

• Design and build ML pipelines. Evaluate, integrate, and optimize ML models and agentic workflows.
• Lead the design of GenAI 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.

Perks and benefits:

• Opportunity to work with cutting-edge technology and innovation
• Collaborative and inclusive work culture
• Professional development and learning opportunities
• Competitive salary and benefits package