OVERVIEW
ABOUT THE ROLE- We are seeking a highly skilled and experienced Senior Indoor Location Engineer to join our dynamic team. As a key contributor to our research and development efforts, you will play a pivotal role in designing and building cutting-edge indoor location solutions by using sensor fusion and machine learning techniques. The ideal candidate will have a deep understanding of machine learning and sensor fusion, along with a passion for tackling complex problems and creating market-leading products.
ABOUT THE TEAM - The Indoor Location Team is dedicated to enabling robust and accurate indoor positioning technology to provide a magical grocery shopping experience.
ABOUT THE JOB
- Develop sensor fusion algorithms to enable robust and accurate indoor location in retail stores.
- Build efficient deployment flow, including mapping, data collection, model training, and distribution.
- Collaborate with cross-functional teams to integrate indoor location technology into our products and solutions.
- Conduct research and stay abreast of the latest advancements in the field to ensure our technology remains cutting-edge.
- Document and present research findings and development processes.
ABOUT YOU
Minimum Qualifications
- Strong technical background with an M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field.
- Minimum of 5 years of relevant experience in machine learning, sensor fusion, state estimation, or simultaneous localization and mapping (SLAM)
- Strong programming skills in Java (Kotlin), Python, or other programming languages.
- Proven track record of solving complex problems with real-world data.
- Willingness to learn new concepts and technologies
- Ability to work in a fast-paced, collaborative environment.
- Ability to travel to various locations (short trips within and outside of the U.S.)
Preferred Qualifications
- Publications or a strong portfolio of projects in related fields.
- Knowledge of inertial measurement unit (IMU).
- Knowledge of filtering and optimization algorithms.
- Knowledge of computer vision (CV) and computational geometry.
