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Remote role · senior-i

Senior Indoor Location Engineer

Instacart

United States - RemoteSoftware Development
SalaryUSD $198,000~$220,000
machine learningsensor fusionSLAMPythonJava
Role brief

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.