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.
We accelerate Alphabet companies by leveraging ML expertise and institutional knowledge from across Google to solve complex, real-world research problems. Our current task is to improve map creation and mapping accuracy to enable autonomous driving globally by researching and applying machine learning models to the field of Auto HD Mapping.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Conduct research and development of vision models for mapping. This includes all aspects of model development: literature reviews, data collection, model training and tuning, evaluation, analysis, and deployment.
- Leverage existing Google models and technologies to get to production fast.
- Contribute code while performing research, and take on whatever tasks are needed to drive the team and our partners to success.
Qualifications
Minimum qualifications:
- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience.
- 5 years of experience programming in Python.
- Experience with computer vision, machine learning or machine vision.
Preferred qualifications:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience.
- Experience with publications in related research venues (e.g., CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
- Experience in the field of modern vision algorithm.
- Experience applying deep learning to vision tasks, coding, debugging and deploying ML models.
- Experience with robot navigation or autonomous cars.
- Experience with data structures and algorithms.