Engineer, Algorithm & Machine Learning

Requisition Number: 
Date Posted: 
January 8, 2019
Sunnyvale, CA
Reports To: 
Sr. Director Product
Position Summary: 

We are seeking a talented and passionate Algorithm / Machine Learning System Engineer to join our team. You will be working in an agile style development environment focused on streamline deliveries and close collaboration with product management, QA, field trial and operational teams.  You won’t be afraid of working under tight schedule in an interactive development environment with evolving requirements. You are enthusiastic about new technologies, and a fast learner to evaluate and apply them through your daily development work. You are an excellent problem solver. 

Essential Functions: 
  • Work with large, complex location and map data sets to develop solutions (methodology and algorithms) for real world location data problems.
  • Ability to draw conclusions from data and to recommend actions.
  • Develop Machine Learning models to process large location datasets and combine with other Meta Data for better contextualization
  • Contribute in requirement analysis and review
  • Hands-on coding of proposed algorithms
  • Integration testing and bug fixing
  • Multi-task and manage priorities in a fast paced environment
Education, Experience, Skills and Attributes: 


  • MS/PhD degree in a quantitative discipline (ex: statistics, mathematics, physics, computer science, economics etc.) or equivalent practical experience.
  • Strong understanding of statistical and empirical methods (hypothesis testing, statistical inference, etc.).
  • Deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods, time-series analysis
  • Experience in programming in one or more of the following: C/C++, Scala, TensorFlow, Python and/or Go.
  • Work experience in deep data analysis and/or data science in user location data


  • Work experience in a Statistician or Data Scientist role.
  • Experience with Machine Learning on large  Geolocation datasets


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