About the position
The job overview for this position is that Jumio Corporation is seeking a Research Engineer to join their team in Lenexa, KS. The ideal candidate should be proficient in Python and have experience with embedded system platforms such as Raspberry Pi. They should also have knowledge of DIY electronics, hardware prototyping, and familiarity with AWS and SageMaker. A bachelor's or master's degree in electrical engineering, computer science, or related fields is required. The responsibilities of this role include working with DIY electronics, robotics, and rapid prototyping platforms, applying image processing tools, designing experiments using machine learning concepts, and collaborating with the team on a daily basis.
Responsibilities
- Work with DIY electronics, robotics, and rapid prototyping platforms such as Raspberry Pi and Arduino
- Apply image processing tools and libraries (e.g., Pillow, OpenCV) to analyze and manipulate images
- Design experiments and perform benchmarking using machine learning concepts and metrics
- Apply knowledge of photography and different camera hardware to research projects
- Familiarity with biometric modalities, eKYC, and presentation attacks
- Work with databases and cloud computing technologies, specifically AWS data pipelines and SageMaker
- Collaborate with the team at the Lenexa, KS office on a daily basis
Requirements
- Proficient in Python
- Experience with embedded system platforms such as Raspberry Pi
- Knowledge of DIY electronics, hardware prototyping
- Familiarity with AWS and SageMaker
- Bachelor's or master's degree in electrical engineering, computer science, or related fields
- Work with DIY electronics, robotics, and rapid prototyping platforms such as Raspberry Pi and Arduino
- Apply image processing tools and libraries (e.g., Pillow, OpenCV) to analyze and manipulate images
- Design experiments and perform benchmarking using machine learning concepts and metrics
- Apply knowledge of photography and different camera hardware to research projects
- Familiarity with biometric modalities, eKYC, and presentation attacks
- Work with databases and cloud computing technologies, specifically AWS data pipelines and SageMaker
- Collaborate with the team at the Lenexa, KS office on a daily basis
- Familiarity with 3D printing and other PAI (spoof) generation technologies
- Familiarity with image processing tools
- Proficient in Python with working knowledge of image processing (Pillow, OpenCV, etc) and deep learning (PyTorch and TensorFlow) libraries
- Familiarity with the design of experiments
- Knowledge of machine learning concepts and benchmarking metrics (e.g. ROC analysis)
- Knowledge of photography and different camera hardware
- Familiarity with different biometric modalities, eKYC, and presentation attacks
- Knowledge of databases and cloud computing, specifically AWS data pipelines and SageMaker
- Must be able to travel to our Lenexa, KS office daily
- Familiarity with C, C++, and MATLAB
- Previous experience in presentation attack detection and biometrics
- Experience in robotics (hardware and ROS)
- An understanding of computational lighting and photography
- Hands-on knowledge of deep learning, statistics, and statistical tests
- Familiarity with domestic and international b
Benefits
- Competitive salary and compensation package
- Opportunity to work with cutting-edge technology in the field of online identity and ID verification
- Chance to work with DIY electronics, robotics, and rapid prototyping platforms
- Exposure to image processing tools and libraries
- Design and perform experiments using machine learning concepts and metrics
- Work with databases and cloud computing technologies, specifically AWS data pipelines and SageMaker
- Collaborate with a talented team at the Lenexa, KS office
- Travel to the Lenexa, KS office on a daily basis
- Equal opportunities for all applicants and colleagues
- Chance to work for a leading provider of online identity verification, eKYC, and AML solutions
- Opportunity to contribute to making the internet safer
- Exposure to AI, biometrics, machine learning, liveness detection, and automation technologies
- Chance to work with leading brands worldwide and respected industry thought leaders