Software Engineer III, AI/ML, Road Data Quality at Google

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

202000.0

Posted On

19 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, AI, Machine Learning, Data Analysis, Generative AI, Computer Vision, Natural Language Processing, Model Deployment, Model Evaluation, Data Processing, Debugging, Data Structures, Algorithms, Computational Geometry, Accessible Technologies

Industry

Software Development

Description

MINIMUM QUALIFICATIONS: * Bachelor’s degree or equivalent practical experience. * 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. * 1 year of experience with one of the following AI/ML techniques: Generative AI, Computer Vision, Natural Language Processing (NLP), information retrieval, or specialization in another ML field. * 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). * Experience in data analysis. PREFERRED QUALIFICATIONS: * Master's degree or PhD in Computer Science or related technical fields. * 2 years of experience with data structures or algorithms. * Experience in computational geometry. * Experience developing accessible technologies. 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. The Geo organization works to build a navigation map stitching together multiple data types: advanced road geometry, lane geometry, lane and road markings, intersections, lane restrictions, medians, buildings, etc. Our team is responsible for the data quality of road attributes used for routing and navigation. We achieve this through leveraging AI/ML techniques to extract road details from Geo’s corpus of sensor, imagery, and location data, and through geometric algorithms (e.g., conflation) to keep our road network up to date. 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 $141,000-$202,000 + 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 [https://careers.google.com/benefits/]. RESPONSIBILITIES: * Write product or system development code. * Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). * Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. * Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model improvement and data processing. * Drive model development, data curation, evaluation, and prototype novel concepts for goals learning.

Responsibilities

The software engineer will write product or system development code and collaborate with peers and stakeholders through design and code reviews. They will implement solutions in specialized ML areas and contribute to model improvement and data processing.