Requirements

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience leading ML design and optimizing 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 state of the art GenAI techniques (e.g., Large Language Model (LLMs), Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• Experience building agentic workflows and tool-calling systems (e.g., with ADK, reasoning loops, multi-agent orchestration).

Nice to Have

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 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 distributed systems, RPC services, database architecture (Spanner/F1), and batch/streaming data pipelines (Flume).

What You'll Be Doing

• Provide technical leadership on high-impact projects.
• Influence and coach a distributed team of engineers.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Manage project priorities, deadlines, and deliverables.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

Perks and Benefits

• Opportunity to work on cutting-edge technologies.
• Dynamic work environment with opportunities to switch teams and projects.
• Competitive compensation and benefits package.
• Promote diversity, inclusion, and belonging in the workplace.
• English proficiency requirement unless stated otherwise in the job posting.