Staff Software Engineer, Google Maps, Machine Learning

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience with Generative AI and AI Algorithms.
• Experience with Data Analysis and Evaluations.
• 5 years of experience with ML design, ML architecture, and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 8 years of experience in ML engineering and in delivering successful projects.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  
• Experience with ML development lifecycle, including data preprocessing, model training, evaluation, and deployment.
• Experience using data to identify systemic issues, form hypotheses, and develop proposals, with excellent problem-solving skills.
• Knowledge of ML algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and generative AI.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

This role requires the application of cutting-edge GenAI and ML solutions in combination with classical geometric algorithms to power Google Maps next-generation navigation experiences.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Take end-to-end ownership of converting complex imagery, location, and sensor data into precise geometries to power next generation navigation products.
• Understand failure modes across a broad spectrum of root causes, identify and solve data quality shortcomings, debug and optimize the entire data-to-model-to-rendering pipeline, develop evaluation tools and geometric metrics to assess visual quality at scale, solve difficult infrastructure and performance bottlenecks to enable a consistent and fresh visual map.
• Own the development of geometric and geospatial algorithms to improve polygonization for road shapes and lane details, spanning both 2D and 3D maps to ensure a cohesive experience. 
• Translate ambiguous data challenges into clear algorithmic, ML, generative AI formulations, brainstorming directly with product, UX, and engineering partners to define the optimal visual experience and iterate towards a scalable, launchable solution.