Engineering Manager, GenAI & CV for Immersive Maps

Google

Mountain View (CA)

On-site

USD 207,000 - 300,000

Full time

33 hours ago

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Job summary

Google’s Geo team seeks an Engineering Manager to lead ML and Computer Vision initiatives for next-generation 3D navigation maps. You will guide multi-team efforts, deploy large ML models, and shape product strategy across Maps, Earth, Street View, and Maps Platform.

The role emphasizes people leadership, cross-functional collaboration, and delivering scalable, user-centric data experiences. The position focuses on building accurate geospatial data, leveraging sensor data, imagery, and location

Qualifications

Bachelor’s degree, or equivalent practical experience.
8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
5 years of experience in a technical leadership role; overseeing projects, with 3 years of experience in a people management, supervision/team leadership role.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Experience with computer vision learning techniques, machine learning algorithms (supervised and unsupervised learning, deep learning, reinforcement learning), generative AI, or applied AI applications

Responsibilities

Take end-to-end ownership of converting complex imagery, location, and sensor data into precise geometries to power Geo’s next generation navigation products.
Translate ambiguous input data challenges into clear algorithmic, ML, GenAI formulations, brainstorming directly with product, UX, and engineering to define the optimal visual experience and iterate towards scalable solutions.
Set and communicate team priorities that support the broader organization's goals.
Align strategy, processes, and decision-making across teams.
Set clear expectations with individuals based on their level and role, aligned with broader organizational goals.
Meet regularly with individuals to discuss performance, development, feedback and coaching.
Develop the long-term technical outlook and roadmap, meeting anticipated future requirements and infrastructure needs.
Design, guide and vet system designs, and write product or system development code to solve ambiguous problems.