Rizse is developing revolutionary inspection technologies to step the aviation industry into the next generation of safety, efficiency, and consistency.  Building proprietary drone platforms, machine learning models, and Artificial intelligence, we utilized a large variety of skill sets to create a robust, user-friendly product. 

We are a small team building big solutions, and with the experience already onboard, we are paving the way for our industry, but we need more outstanding people to further that vision. If you are hungry and excited to help build a company from the ground up, technology and culture included, Rizse is your stop.

What to expect:

Your job will be to assist with the designing, reconciling, and development of Rizse machine learning models and ingested data. 

  • Geospatial analysis and geospatial intelligence applications
  • Pattern recognition 
  • Graph Search
  • Physics-based simulation and modeling
  • Sensor data analysis
  • Data quality review 

Minimum qualifications:

  • BS in Computer Science, related technical field or equivalent practical experience
  • Experience in Natural Language Processing/Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining, Knowledge Representation or Machine Intelligence (Artificial Intelligence)
  • Programming experience in one or more of the following: Python, R or comparable data processing language
  • Contributions to research communities and/or efforts, including publishing papers in machine learning venues (e.g., JMLR, ICLR, NIPS, ICML, ACL, and CVPR)
  • Working proficiency and communication skills in verbal and written English.

Brownie Points:
  • Relevant work experience, including full-time industry experience or as a researcher in a lab
  • Ph.D. in Computer Science, related technical field or equivalent practical experience.
  • Strong publication record
  • Ability to design and execute on research agenda.
  • Managerial experience 
  • Interest and ability to learn other coding languages as needed.

Responsibilities
  • Design, develop, test, deploy, maintain and improve the software.
  • Manage individual project priorities, deadlines and deliverables.

Benefits
  • Competitive salary packages and bonuses.
  • Stock Options
  • Comprehensive medical, dental, vision and life insurance as well as disability benefits.
  • Generous vacation and holidays