Germany: €156000 - €159000 (EUR) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Provide technical direction and oversight for AI/Machine Learning initiatives, guiding the team in choosing appropriate approaches for ambiguous problems.
Design, guide, and vet system designs and ML pipelines, ensuring adherence to Google's engineering practices.
Serve as a subject matter expert, keeping up with the rapid pace of AI/ML innovation and identifying hidden opportunities or cheaper execution alternatives.
Build, lead, and develop a high-performing team of Software/ML Engineers, setting clear expectations, providing regular coaching and feedback, and actively investing in the careers of team members.
Foster a welcoming and collaborative team environment aligned with Google’s values, developing project roadmaps, establishing team goals, setting priorities, and coordinating resources to deliver business impact.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
3 years of experience in a technical leadership role.
2 years of experience in a people management or team leadership role.
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Experience developing or managing products that utilize multi-agent systems, agentic workflows, or tool-calling frameworks.
Experience building or maintaining infrastructure for log analytics, execution trajectories, or automated feedback loops to improve system performance.
Experience leading engineering efforts across organizational boundaries in a matrixed environment.
Proven track record of taking AI/ML or NLP prototypes and successfully productionizing them into scalable, developer tools.
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
3 years of experience in a technical leadership role.
2 years of experience in a people management or team leadership role.
